[
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000000.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000000"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000000.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000000"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000001.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 189.0,
      "x2": 442.0,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000001"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000001.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 189.0,
      "x2": 442.0,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000001"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000002.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 189.0,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000002"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000002.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 189.0,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000002"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000003.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 188.0,
      "x2": 441.5,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000003"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000003.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 188.0,
      "x2": 441.5,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000003"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000004.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000004"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000004.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000004"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000006.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 195.5,
      "x2": 181.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000005"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000006.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 195.5,
      "x2": 181.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000005"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000007.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000006"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000007.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000006"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000008.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000007"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000008.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000007"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000009.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 194.0,
      "x2": 181.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000008"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000009.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 194.0,
      "x2": 181.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000008"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000010.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000009"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000010.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000009"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000011.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000010"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000011.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000010"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000012.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 309.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000011"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000012.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 309.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000011"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000013.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000012"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000013.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000012"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000014.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 555.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000013"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000014.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000013"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000015.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 201.0,
      "x2": 597.5,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000014"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000015.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 201.0,
      "x2": 597.5,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000014"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000016.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 199.0,
      "x2": 596.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000015"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000016.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 199.0,
      "x2": 596.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000015"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000017.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.5,
      "x2": 596.0,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000016"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000017.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.5,
      "x2": 596.0,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000016"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000018.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.0,
      "x2": 598.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000017"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000018.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.0,
      "x2": 598.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000017"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000019.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.5,
      "x2": 597.0,
      "y2": 313.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000018"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000019.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.5,
      "x2": 597.0,
      "y2": 313.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000018"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000020.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 575.0,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000019"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000020.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 575.0,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000019"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000021.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 579.0,
      "y1": 185.5,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000020"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000021.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 579.0,
      "y1": 185.5,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000020"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000023.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 195.0,
      "x2": 183.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000021"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000023.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 195.0,
      "x2": 183.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000021"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000024.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 195.5,
      "x2": 182.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000022"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000024.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 195.5,
      "x2": 182.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000022"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000025.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 193.5,
      "x2": 183.0,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000023"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000025.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 193.5,
      "x2": 183.0,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000023"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000027.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000024"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000027.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000024"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000028.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 187.0,
      "x2": 440.5,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000025"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000028.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 187.0,
      "x2": 440.5,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000025"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000029.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000026"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000029.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000026"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000030.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000027"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000030.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.5,
      "x2": 443.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000027"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000031.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.0,
      "x2": 441.0,
      "y2": 299.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000028"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000031.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 188.0,
      "x2": 441.0,
      "y2": 299.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000028"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000032.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000029"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000032.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000029"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000034.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000030"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000034.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000030"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000035.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000031"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000035.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000031"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000036.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 552.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000032"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000036.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 552.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000032"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000038.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 199.5,
      "x2": 597.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000033"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000038.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 199.5,
      "x2": 597.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000033"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000039.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 200.5,
      "x2": 597.0,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000034"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000039.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 200.5,
      "x2": 597.0,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000034"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000041.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 200.0,
      "x2": 574.0,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000035"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000041.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 200.0,
      "x2": 574.0,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000035"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000042.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 564.0,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000036"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000042.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.0,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000036"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000043.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 542.5,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000037"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000043.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 542.5,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000037"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000044.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000038"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000044.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000038"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000045.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 524.5,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000039"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000045.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 524.5,
      "y1": 184.5,
      "x2": 639.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000039"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000046.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 180.5,
      "x2": 626.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000040"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000046.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 180.5,
      "x2": 626.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000040"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000047.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 200.0,
      "x2": 541.0,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000041"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000047.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 200.0,
      "x2": 541.0,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000041"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000048.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 196.5,
      "x2": 509.0,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000042"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000048.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 196.5,
      "x2": 509.0,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000042"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000049.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 196.0,
      "x2": 473.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000043"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000049.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 196.0,
      "x2": 473.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000043"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000050.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 550.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000044"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000050.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 550.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000044"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000051.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000045"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000051.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000045"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000052.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 198.5,
      "x2": 626.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000046"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000052.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 198.5,
      "x2": 626.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000046"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000053.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 474.0,
      "y1": 196.0,
      "x2": 565.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000047"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000053.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 474.0,
      "y1": 196.0,
      "x2": 565.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000047"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000054.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 201.0,
      "x2": 521.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000048"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000054.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 201.0,
      "x2": 521.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000048"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000055.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 195.0,
      "x2": 182.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000049"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000055.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 195.0,
      "x2": 182.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000049"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000057.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 194.5,
      "x2": 180.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000050"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000057.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 194.5,
      "x2": 180.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000050"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000058.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 196.0,
      "x2": 182.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000051"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000058.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 196.0,
      "x2": 182.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000051"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000059.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 209.0,
      "x2": 169.0,
      "y2": 333.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000052"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000059.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 209.0,
      "x2": 169.0,
      "y2": 333.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000052"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000060.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 182.5,
      "x2": 588.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000053"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000060.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 182.5,
      "x2": 588.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000053"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000061.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 182.5,
      "x2": 513.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000054"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000061.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 182.5,
      "x2": 513.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000054"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000062.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.0,
      "x2": 417.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000055"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000062.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 188.0,
      "x2": 417.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000055"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000063.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 188.0,
      "x2": 392.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000056"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000063.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 188.0,
      "x2": 392.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000056"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000064.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 187.5,
      "x2": 372.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000057"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000064.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 187.5,
      "x2": 372.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000057"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000065.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 342.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000058"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000065.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 342.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000058"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000066.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 552.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 334.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000059"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000066.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 552.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 334.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000059"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000067.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 198.0,
      "x2": 490.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000060"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000067.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 198.0,
      "x2": 490.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000060"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000068.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 197.5,
      "x2": 454.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000061"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000068.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 197.5,
      "x2": 454.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000061"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000071.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 177.0,
      "x2": 546.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000062"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000071.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 177.0,
      "x2": 546.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000062"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000072.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 531.5,
      "y1": 177.0,
      "x2": 593.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000063"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000072.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 531.5,
      "y1": 177.0,
      "x2": 593.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000063"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000073.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 374.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000064"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000073.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 374.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000064"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000074.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 106.0,
      "y1": 197.0,
      "x2": 192.0,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000065"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000074.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 106.0,
      "y1": 197.0,
      "x2": 192.0,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000065"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000075.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 189.0,
      "x2": 226.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000066"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000075.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 189.0,
      "x2": 226.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000066"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000076.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 46.0,
      "y1": 198.0,
      "x2": 174.5,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000067"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000076.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 46.0,
      "y1": 198.0,
      "x2": 174.5,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000067"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000077.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 188.0,
      "x2": 268.0,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000068"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000077.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 188.0,
      "x2": 268.0,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000068"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000078.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 187.5,
      "x2": 198.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000069"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000078.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 187.5,
      "x2": 198.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000069"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000080.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 140.5,
      "y1": 196.0,
      "x2": 218.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000070"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000080.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 140.5,
      "y1": 196.0,
      "x2": 218.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000070"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000081.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 200.5,
      "x2": 151.5,
      "y2": 292.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000071"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000081.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 200.5,
      "x2": 151.5,
      "y2": 292.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000071"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000083.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 350.5,
      "y1": 194.5,
      "x2": 417.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000072"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000083.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 350.5,
      "y1": 194.5,
      "x2": 417.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000072"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000084.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 191.5,
      "x2": 382.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000073"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000084.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 191.5,
      "x2": 382.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000073"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000085.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 238.5,
      "y1": 188.0,
      "x2": 333.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000074"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000085.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 238.5,
      "y1": 188.0,
      "x2": 333.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000074"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000086.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 196.0,
      "x2": 233.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000075"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000086.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 196.0,
      "x2": 233.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000075"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000087.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 200.0,
      "x2": 200.5,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000076"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000087.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 200.0,
      "x2": 200.5,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000076"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000088.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 180.5,
      "x2": 248.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000077"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000088.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 180.5,
      "x2": 248.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000077"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000089.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 188.5,
      "x2": 216.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000078"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000089.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 188.5,
      "x2": 216.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000078"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000090.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 167.5,
      "y1": 198.0,
      "x2": 236.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000079"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000090.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 167.5,
      "y1": 198.0,
      "x2": 236.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000079"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000091.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 204.5,
      "x2": 192.0,
      "y2": 278.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000080"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000091.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 204.5,
      "x2": 192.0,
      "y2": 278.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000080"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000092.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 551.0,
      "y1": 190.5,
      "x2": 611.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000081"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000092.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 551.0,
      "y1": 190.5,
      "x2": 611.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000081"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000093.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 191.0,
      "x2": 284.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000082"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000093.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 191.0,
      "x2": 284.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000082"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000094.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 169.5,
      "y1": 189.5,
      "x2": 264.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000083"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000094.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 169.5,
      "y1": 189.5,
      "x2": 264.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000083"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000095.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 191.5,
      "x2": 278.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000084"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000095.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 191.5,
      "x2": 278.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000084"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000096.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 222.0,
      "y1": 192.5,
      "x2": 309.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000085"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000096.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 222.0,
      "y1": 192.5,
      "x2": 309.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000085"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000097.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 197.5,
      "x2": 366.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000086"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000097.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 197.5,
      "x2": 366.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000086"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000098.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 188.0,
      "x2": 76.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000087"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000098.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 188.0,
      "x2": 76.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000087"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000099.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 187.5,
      "x2": 65.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000088"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000099.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 187.5,
      "x2": 65.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000088"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000100.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 190.0,
      "x2": 87.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000089"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000100.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 190.0,
      "x2": 87.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000089"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000101.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 171.0,
      "x2": 279.0,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000090"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000101.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 171.0,
      "x2": 279.0,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000090"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000102.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 166.0,
      "x2": 443.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000091"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000102.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 166.0,
      "x2": 443.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000091"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000103.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 189.0,
      "x2": 100.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000092"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000103.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 189.0,
      "x2": 100.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000092"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000104.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 190.0,
      "x2": 214.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000093"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000104.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 190.0,
      "x2": 214.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000093"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000105.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 188.0,
      "x2": 382.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000094"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000105.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 188.0,
      "x2": 382.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000094"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000106.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 40.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000095"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000106.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 40.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000095"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000107.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 54.0,
      "y1": 180.0,
      "x2": 123.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000096"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000107.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 54.0,
      "y1": 180.0,
      "x2": 123.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000096"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000109.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 191.0,
      "x2": 515.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000097"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000109.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 191.0,
      "x2": 515.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000097"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000110.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 194.0,
      "x2": 447.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000098"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000110.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 194.0,
      "x2": 447.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000098"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000111.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 194.0,
      "x2": 502.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000099"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000111.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 194.0,
      "x2": 502.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000099"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000112.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 196.5,
      "x2": 523.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000100"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000112.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 196.5,
      "x2": 523.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000100"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000113.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 196.5,
      "x2": 551.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000101"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000113.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 196.5,
      "x2": 551.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000101"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000116.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 78.5,
      "y1": 159.0,
      "x2": 234.5,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000102"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000116.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 78.5,
      "y1": 159.0,
      "x2": 234.5,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000102"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000117.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 181.5,
      "x2": 273.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000103"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000117.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 181.5,
      "x2": 273.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000103"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000118.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 141.5,
      "y1": 198.5,
      "x2": 239.0,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000104"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000118.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 141.5,
      "y1": 198.5,
      "x2": 239.0,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000104"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000119.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 186.0,
      "y1": 189.5,
      "x2": 257.0,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000105"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000119.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 186.0,
      "y1": 189.5,
      "x2": 257.0,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000105"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000121.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.5,
      "x2": 286.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000106"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000121.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.5,
      "x2": 286.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000106"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000122.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 208.0,
      "x2": 251.5,
      "y2": 285.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000107"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000122.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 208.0,
      "x2": 251.5,
      "y2": 285.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000107"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000123.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 193.5,
      "x2": 625.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000108"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000123.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 193.5,
      "x2": 625.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000108"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000124.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 172.0,
      "x2": 501.5,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000109"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000124.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 172.0,
      "x2": 501.5,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000109"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000125.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 193.0,
      "x2": 528.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000110"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000125.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 193.0,
      "x2": 528.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000110"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000126.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 202.0,
      "x2": 632.5,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000111"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000126.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 202.0,
      "x2": 632.5,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000111"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000127.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 139.0,
      "x2": 595.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000112"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000127.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 139.0,
      "x2": 595.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000112"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000128.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 182.5,
      "x2": 443.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000113"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000128.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 182.5,
      "x2": 443.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000113"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000129.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 182.5,
      "x2": 456.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000114"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000129.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 182.5,
      "x2": 456.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000114"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000130.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 174.5,
      "x2": 500.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000115"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000130.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 174.5,
      "x2": 500.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000115"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000132.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 155.5,
      "y1": 183.0,
      "x2": 236.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000116"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000132.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 155.5,
      "y1": 183.0,
      "x2": 236.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000116"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000133.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 183.0,
      "x2": 211.0,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000117"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000133.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 183.0,
      "x2": 211.0,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000117"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000134.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 188.0,
      "x2": 367.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000118"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000134.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 188.0,
      "x2": 367.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000118"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000135.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 186.5,
      "x2": 195.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000119"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000135.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 186.5,
      "x2": 195.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000119"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000136.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 171.0,
      "y1": 193.5,
      "x2": 282.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000120"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000136.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 171.0,
      "y1": 193.5,
      "x2": 282.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000120"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000137.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 193.0,
      "x2": 413.5,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000121"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000137.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 193.0,
      "x2": 413.5,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000121"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000138.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 170.0,
      "x2": 584.5,
      "y2": 298.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000122"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000138.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 170.0,
      "x2": 584.5,
      "y2": 298.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000122"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000140.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 196.0,
      "x2": 282.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000123"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000140.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 196.0,
      "x2": 282.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000123"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000141.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 203.5,
      "x2": 524.5,
      "y2": 317.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000124"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000141.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 203.5,
      "x2": 524.5,
      "y2": 317.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000124"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000142.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 199.5,
      "x2": 374.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000125"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000142.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 199.5,
      "x2": 374.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000125"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000144.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 171.0,
      "x2": 309.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000126"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000144.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 171.0,
      "x2": 309.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000126"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000145.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 71.0,
      "y1": 188.0,
      "x2": 152.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000127"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000145.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 71.0,
      "y1": 188.0,
      "x2": 152.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000127"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000146.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 226.0,
      "y1": 192.5,
      "x2": 333.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000128"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000146.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 226.0,
      "y1": 192.5,
      "x2": 333.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000128"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000147.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 4.5,
      "y1": 188.5,
      "x2": 71.0,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000129"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000147.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 4.5,
      "y1": 188.5,
      "x2": 71.0,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000129"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000148.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 69.0,
      "y1": 191.0,
      "x2": 153.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000130"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000148.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 69.0,
      "y1": 191.0,
      "x2": 153.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000130"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000149.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 483.0,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000131"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000149.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 483.0,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000131"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000150.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 198.5,
      "x2": 455.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000132"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000150.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 198.5,
      "x2": 455.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000132"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000151.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 416.5,
      "y1": 202.5,
      "x2": 540.5,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000133"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000151.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.5,
      "y1": 202.5,
      "x2": 540.5,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000133"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000152.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 90.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000134"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000152.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 90.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000134"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000153.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 189.0,
      "x2": 469.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000135"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000153.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 189.0,
      "x2": 469.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000135"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000154.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 194.5,
      "x2": 565.5,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000136"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000154.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 194.5,
      "x2": 565.5,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000136"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000155.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 474.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000137"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000155.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 474.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000137"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000156.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 203.5,
      "x2": 434.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000138"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000156.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 203.5,
      "x2": 434.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000138"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000157.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 209.0,
      "x2": 538.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000139"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000157.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 209.0,
      "x2": 538.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000139"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000158.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 201.5,
      "x2": 504.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000140"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000158.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 201.5,
      "x2": 504.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000140"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000159.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 205.0,
      "x2": 631.0,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000141"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000159.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 205.0,
      "x2": 631.0,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000141"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000160.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 201.0,
      "x2": 589.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000142"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000160.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 201.0,
      "x2": 589.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000142"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000161.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 200.5,
      "x2": 556.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000143"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000161.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 200.5,
      "x2": 556.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000143"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000162.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 201.0,
      "x2": 576.0,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000144"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000162.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 201.0,
      "x2": 576.0,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000144"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000163.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 197.5,
      "x2": 614.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000145"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000163.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 197.5,
      "x2": 614.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000145"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000164.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 200.0,
      "x2": 564.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000146"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000164.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 200.0,
      "x2": 564.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000146"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000165.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 543.5,
      "y1": 187.5,
      "x2": 594.0,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000147"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000165.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 543.5,
      "y1": 187.5,
      "x2": 594.0,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000147"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000167.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 155.5,
      "x2": 540.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000148"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000167.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 155.5,
      "x2": 540.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000148"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000168.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 181.0,
      "x2": 302.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000149"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000168.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 181.0,
      "x2": 302.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000149"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000169.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 193.0,
      "x2": 520.5,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000150"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000169.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 193.0,
      "x2": 520.5,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000150"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000171.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000151"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000171.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000151"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000172.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000152"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000172.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000152"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000174.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 326.0,
      "y1": 195.5,
      "x2": 397.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000153"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000174.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 326.0,
      "y1": 195.5,
      "x2": 397.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000153"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000175.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 202.0,
      "x2": 396.0,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000154"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000175.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 202.0,
      "x2": 396.0,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000154"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000176.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 204.5,
      "x2": 412.5,
      "y2": 325.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000155"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000176.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 204.5,
      "x2": 412.5,
      "y2": 325.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000155"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000177.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 208.5,
      "x2": 422.0,
      "y2": 345.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000156"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000177.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 208.5,
      "x2": 422.0,
      "y2": 345.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000156"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000178.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 209.0,
      "x2": 412.5,
      "y2": 330.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000157"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000178.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 209.0,
      "x2": 412.5,
      "y2": 330.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000157"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000180.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 179.5,
      "x2": 588.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000158"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000180.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 179.5,
      "x2": 588.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000158"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000181.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 517.5,
      "y1": 174.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000159"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000181.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 517.5,
      "y1": 174.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000159"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000182.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 166.5,
      "x2": 639.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000160"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000182.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 166.5,
      "x2": 639.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000160"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000183.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 516.5,
      "y1": 167.0,
      "x2": 638.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000161"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000183.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 516.5,
      "y1": 167.0,
      "x2": 638.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000161"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000184.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 414.5,
      "y1": 194.0,
      "x2": 491.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000162"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000184.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 414.5,
      "y1": 194.0,
      "x2": 491.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000162"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000185.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.5,
      "x2": 514.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000163"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000185.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.5,
      "x2": 514.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000163"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000186.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 196.0,
      "x2": 513.5,
      "y2": 269.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000164"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000186.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 196.0,
      "x2": 513.5,
      "y2": 269.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000164"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000187.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 193.5,
      "x2": 486.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000165"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000187.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 193.5,
      "x2": 486.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000165"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000188.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 326.5,
      "y1": 191.5,
      "x2": 387.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000166"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000188.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 326.5,
      "y1": 191.5,
      "x2": 387.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000166"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000189.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 197.5,
      "x2": 393.0,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000167"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000189.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 197.5,
      "x2": 393.0,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000167"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000190.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 197.5,
      "x2": 399.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000168"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000190.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 197.5,
      "x2": 399.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000168"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000191.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 197.0,
      "x2": 389.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000169"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000191.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 197.0,
      "x2": 389.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000169"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000192.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 292.5,
      "y1": 206.5,
      "x2": 388.0,
      "y2": 293.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000170"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000192.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 292.5,
      "y1": 206.5,
      "x2": 388.0,
      "y2": 293.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000170"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000193.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 205.5,
      "x2": 373.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000171"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000193.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 205.5,
      "x2": 373.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000171"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000194.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 203.5,
      "x2": 361.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000172"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000194.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 203.5,
      "x2": 361.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000172"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000195.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 200.5,
      "x2": 344.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000173"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000195.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 200.5,
      "x2": 344.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000173"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000196.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 239.0,
      "y1": 197.0,
      "x2": 308.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000174"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000196.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 239.0,
      "y1": 197.0,
      "x2": 308.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000174"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000197.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 195.0,
      "x2": 372.0,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000175"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000197.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 195.0,
      "x2": 372.0,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000175"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000198.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 196.0,
      "x2": 430.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000176"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000198.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 196.0,
      "x2": 430.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000176"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000199.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 180.5,
      "x2": 545.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000177"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000199.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 180.5,
      "x2": 545.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000177"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000200.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 183.5,
      "x2": 503.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000178"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000200.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 183.5,
      "x2": 503.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000178"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000201.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 183.0,
      "x2": 467.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000179"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000201.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 183.0,
      "x2": 467.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000179"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000202.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 355.0,
      "y1": 177.0,
      "x2": 431.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000180"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000202.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 355.0,
      "y1": 177.0,
      "x2": 431.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000180"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000203.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 176.5,
      "x2": 387.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000181"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000203.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 176.5,
      "x2": 387.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000181"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000204.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 191.5,
      "x2": 300.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000182"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000204.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 191.5,
      "x2": 300.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000182"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000205.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 193.0,
      "x2": 288.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000183"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000205.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 193.0,
      "x2": 288.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000183"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000206.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 188.0,
      "x2": 268.0,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000184"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000206.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 188.0,
      "x2": 268.0,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000184"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000208.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 199.5,
      "x2": 564.0,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000185"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000208.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 199.5,
      "x2": 564.0,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000185"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000209.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 203.0,
      "x2": 512.0,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000186"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000209.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 203.0,
      "x2": 512.0,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000186"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000210.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 395.0,
      "y1": 200.0,
      "x2": 485.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000187"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000210.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.0,
      "y1": 200.0,
      "x2": 485.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000187"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000211.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 195.0,
      "x2": 471.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000188"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000211.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 195.0,
      "x2": 471.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000188"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000213.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 502.0,
      "y1": 194.5,
      "x2": 558.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000189"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000213.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.0,
      "y1": 194.5,
      "x2": 558.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000189"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000214.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 506.5,
      "y1": 196.0,
      "x2": 566.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000190"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000214.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 506.5,
      "y1": 196.0,
      "x2": 566.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000190"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000215.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 519.0,
      "y1": 196.5,
      "x2": 584.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000191"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000215.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 519.0,
      "y1": 196.5,
      "x2": 584.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000191"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000216.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 548.0,
      "y1": 196.0,
      "x2": 630.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000192"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000216.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 548.0,
      "y1": 196.0,
      "x2": 630.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000192"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000217.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 595.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000193"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000217.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 595.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000193"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000218.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 565.5,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 311.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000194"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000218.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 565.5,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 311.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000194"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000219.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 548.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000195"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000219.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 548.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000195"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000220.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000196"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000220.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000196"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000221.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 481.0,
      "y1": 194.0,
      "x2": 539.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000197"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000221.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 481.0,
      "y1": 194.0,
      "x2": 539.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000197"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000222.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 195.0,
      "x2": 303.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000198"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000222.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 195.0,
      "x2": 303.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000198"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000223.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 169.0,
      "y1": 193.5,
      "x2": 234.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000199"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000223.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 169.0,
      "y1": 193.5,
      "x2": 234.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000199"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000224.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 176.5,
      "x2": 332.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000200"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000224.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 176.5,
      "x2": 332.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000200"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000225.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 172.5,
      "x2": 276.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000201"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000225.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 172.5,
      "x2": 276.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000201"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000226.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 149.0,
      "y1": 175.5,
      "x2": 271.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000202"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000226.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 149.0,
      "y1": 175.5,
      "x2": 271.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000202"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000227.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 199.5,
      "y1": 166.0,
      "x2": 332.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000203"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000227.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 199.5,
      "y1": 166.0,
      "x2": 332.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000203"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000229.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 200.0,
      "x2": 255.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000204"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000229.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 200.0,
      "x2": 255.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000204"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000230.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 84.5,
      "y1": 199.5,
      "x2": 170.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000205"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000230.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 84.5,
      "y1": 199.5,
      "x2": 170.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000205"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000231.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 28.0,
      "y1": 203.0,
      "x2": 120.0,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000206"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000231.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 28.0,
      "y1": 203.0,
      "x2": 120.0,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000206"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000232.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 8.5,
      "y1": 198.0,
      "x2": 102.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000207"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000232.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 8.5,
      "y1": 198.0,
      "x2": 102.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000207"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000233.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 199.0,
      "x2": 120.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000208"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000233.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 199.0,
      "x2": 120.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000208"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000234.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 196.5,
      "x2": 137.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000209"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000234.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 196.5,
      "x2": 137.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000209"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000235.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 313.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000210"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000235.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 313.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000210"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000236.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 509.0,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 324.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000211"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000236.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 509.0,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 324.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000211"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000238.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 236.0,
      "y1": 192.0,
      "x2": 366.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000212"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000238.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 236.0,
      "y1": 192.0,
      "x2": 366.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000212"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000239.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 195.0,
      "x2": 351.0,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000213"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000239.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 195.0,
      "x2": 351.0,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000213"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000241.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 193.5,
      "x2": 432.5,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000214"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000241.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 193.5,
      "x2": 432.5,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000214"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000242.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 189.0,
      "x2": 148.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000215"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000242.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 189.0,
      "x2": 148.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000215"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000243.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 399.5,
      "y1": 192.0,
      "x2": 497.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000216"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000243.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 399.5,
      "y1": 192.0,
      "x2": 497.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000216"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000245.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 196.5,
      "x2": 499.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000217"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000245.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 196.5,
      "x2": 499.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000217"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000246.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 287.5,
      "y1": 192.0,
      "x2": 380.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000218"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000246.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.5,
      "y1": 192.0,
      "x2": 380.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000218"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000247.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 189.0,
      "x2": 183.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000219"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000247.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 189.0,
      "x2": 183.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000219"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000248.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 191.0,
      "x2": 359.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000220"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000248.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 191.0,
      "x2": 359.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000220"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000249.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 188.5,
      "x2": 371.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000221"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000249.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 188.5,
      "x2": 371.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000221"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000250.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 192.0,
      "x2": 121.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000222"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000250.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 192.0,
      "x2": 121.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000222"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000251.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 58.0,
      "y1": 185.0,
      "x2": 140.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000223"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000251.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 58.0,
      "y1": 185.0,
      "x2": 140.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000223"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000252.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 194.5,
      "x2": 460.0,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000224"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000252.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 194.5,
      "x2": 460.0,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000224"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000253.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 198.5,
      "x2": 639.5,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000225"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000253.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 198.5,
      "x2": 639.5,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000225"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000254.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 195.0,
      "x2": 185.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000226"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000254.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 195.0,
      "x2": 185.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000226"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000255.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 191.5,
      "x2": 218.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000227"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000255.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 191.5,
      "x2": 218.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000227"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000256.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 172.0,
      "x2": 579.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000228"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000256.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 172.0,
      "x2": 579.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000228"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000257.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 166.0,
      "x2": 639.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000229"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000257.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 166.0,
      "x2": 639.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000229"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000258.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 171.5,
      "x2": 639.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000230"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000258.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 171.5,
      "x2": 639.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000230"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000260.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 191.5,
      "x2": 97.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000231"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000260.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 191.5,
      "x2": 97.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000231"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000261.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 234.0,
      "y1": 199.0,
      "x2": 462.5,
      "y2": 343.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000232"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000261.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 234.0,
      "y1": 199.0,
      "x2": 462.5,
      "y2": 343.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000232"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000263.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 192.5,
      "x2": 318.0,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000233"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000263.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 192.5,
      "x2": 318.0,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000233"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000264.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 255.0,
      "y1": 196.5,
      "x2": 336.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000234"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000264.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 255.0,
      "y1": 196.5,
      "x2": 336.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000234"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000265.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 309.0,
      "y1": 192.5,
      "x2": 376.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000235"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000265.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.0,
      "y1": 192.5,
      "x2": 376.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000235"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000266.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 195.0,
      "x2": 146.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000236"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000266.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 195.0,
      "x2": 146.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000236"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000267.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 202.0,
      "x2": 164.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000237"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000267.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 202.0,
      "x2": 164.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000237"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000268.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 288.0,
      "y1": 186.5,
      "x2": 449.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000238"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000268.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.0,
      "y1": 186.5,
      "x2": 449.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000238"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000269.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 357.0,
      "y1": 193.0,
      "x2": 530.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000239"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000269.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 357.0,
      "y1": 193.0,
      "x2": 530.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000239"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000271.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000240"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000271.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000240"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000272.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 188.5,
      "x2": 351.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000241"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000272.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 188.5,
      "x2": 351.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000241"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000274.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.5,
      "y1": 198.5,
      "x2": 465.5,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000242"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000274.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.5,
      "y1": 198.5,
      "x2": 465.5,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000242"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000275.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 199.0,
      "x2": 459.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000243"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000275.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 199.0,
      "x2": 459.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000243"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000276.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 204.0,
      "x2": 493.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000244"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000276.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 204.0,
      "x2": 493.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000244"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000277.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 202.0,
      "x2": 544.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000245"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000277.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 202.0,
      "x2": 544.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000245"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000278.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 198.5,
      "x2": 220.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000246"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000278.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 198.5,
      "x2": 220.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000246"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000279.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 77.5,
      "y1": 203.0,
      "x2": 175.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000247"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000279.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 77.5,
      "y1": 203.0,
      "x2": 175.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000247"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000280.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 241.0,
      "y1": 174.5,
      "x2": 300.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000248"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000280.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.0,
      "y1": 174.5,
      "x2": 300.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000248"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000281.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 155.0,
      "x2": 292.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000249"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000281.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 155.0,
      "x2": 292.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000249"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000282.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 146.0,
      "y1": 195.0,
      "x2": 216.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000250"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000282.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 146.0,
      "y1": 195.0,
      "x2": 216.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000250"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000283.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 27.5,
      "y1": 198.0,
      "x2": 166.0,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000251"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000283.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 27.5,
      "y1": 198.0,
      "x2": 166.0,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000251"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000284.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 195.5,
      "x2": 384.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000252"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000284.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 195.5,
      "x2": 384.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000252"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000285.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 193.5,
      "x2": 391.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000253"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000285.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 193.5,
      "x2": 391.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000253"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000286.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 192.5,
      "x2": 398.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000254"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000286.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 192.5,
      "x2": 398.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000254"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000287.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 195.5,
      "x2": 415.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000255"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000287.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 195.5,
      "x2": 415.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000255"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000288.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 194.5,
      "x2": 433.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000256"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000288.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 194.5,
      "x2": 433.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000256"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000290.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 454.5,
      "y1": 203.0,
      "x2": 572.5,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000257"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000290.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 454.5,
      "y1": 203.0,
      "x2": 572.5,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000257"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000291.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 199.0,
      "x2": 606.5,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000258"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000291.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 199.0,
      "x2": 606.5,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000258"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000292.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000259"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000292.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000259"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000293.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 349.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000260"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000293.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 349.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000260"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000294.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 63.0,
      "y1": 187.0,
      "x2": 119.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000261"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000294.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 63.0,
      "y1": 187.0,
      "x2": 119.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000261"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000295.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 158.5,
      "y1": 194.0,
      "x2": 222.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000262"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000295.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 158.5,
      "y1": 194.0,
      "x2": 222.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000262"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000296.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 87.0,
      "y1": 196.5,
      "x2": 179.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000263"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000296.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 87.0,
      "y1": 196.5,
      "x2": 179.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000263"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000297.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 192.0,
      "x2": 450.0,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000264"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000297.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 192.0,
      "x2": 450.0,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000264"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000298.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 194.5,
      "x2": 492.0,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000265"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000298.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 194.5,
      "x2": 492.0,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000265"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000299.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 478.0,
      "y1": 197.0,
      "x2": 594.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000266"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000299.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 478.0,
      "y1": 197.0,
      "x2": 594.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000266"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000301.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 513.0,
      "y1": 201.0,
      "x2": 595.5,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000267"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000301.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.0,
      "y1": 201.0,
      "x2": 595.5,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000267"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000302.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 200.0,
      "x2": 221.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000268"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000302.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 200.0,
      "x2": 221.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000268"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000304.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 196.5,
      "x2": 263.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000269"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000304.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 196.5,
      "x2": 263.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000269"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000305.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 199.5,
      "x2": 277.5,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000270"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000305.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 199.5,
      "x2": 277.5,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000270"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000306.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 194.5,
      "x2": 294.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000271"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000306.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 194.5,
      "x2": 294.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000271"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000307.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 220.0,
      "y1": 194.5,
      "x2": 309.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000272"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000307.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 220.0,
      "y1": 194.5,
      "x2": 309.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000272"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000308.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 197.0,
      "x2": 186.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000273"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000308.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 197.0,
      "x2": 186.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000273"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000309.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 188.5,
      "x2": 331.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000274"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000309.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 188.5,
      "x2": 331.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000274"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000310.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 188.5,
      "x2": 322.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000275"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000310.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 188.5,
      "x2": 322.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000275"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000311.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 193.0,
      "x2": 531.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000276"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000311.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 193.0,
      "x2": 531.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000276"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000313.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 525.5,
      "y1": 194.0,
      "x2": 607.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000277"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000313.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 525.5,
      "y1": 194.0,
      "x2": 607.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000277"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000314.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000278"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000314.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000278"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000315.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 187.5,
      "x2": 351.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000279"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000315.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 187.5,
      "x2": 351.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000279"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000316.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 413.0,
      "y1": 189.5,
      "x2": 496.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000280"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000316.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 413.0,
      "y1": 189.5,
      "x2": 496.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000280"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000317.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 189.0,
      "x2": 486.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000281"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000317.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 189.0,
      "x2": 486.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000281"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000318.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 197.5,
      "x2": 503.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000282"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000318.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 197.5,
      "x2": 503.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000282"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000319.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 343.5,
      "y1": 208.0,
      "x2": 544.0,
      "y2": 317.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000283"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000319.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.5,
      "y1": 208.0,
      "x2": 544.0,
      "y2": 317.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000283"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000320.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 208.0,
      "x2": 580.5,
      "y2": 344.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000284"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000320.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 208.0,
      "x2": 580.5,
      "y2": 344.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000284"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000321.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 212.0,
      "x2": 601.0,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000285"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000321.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 212.0,
      "x2": 601.0,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000285"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000322.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 178.5,
      "x2": 328.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000286"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000322.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 178.5,
      "x2": 328.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000286"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000323.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 186.0,
      "x2": 303.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000287"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000323.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 186.0,
      "x2": 303.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000287"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000324.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 220.5,
      "y1": 192.0,
      "x2": 296.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000288"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000324.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 220.5,
      "y1": 192.0,
      "x2": 296.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000288"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000325.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 191.0,
      "x2": 291.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000289"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000325.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 191.0,
      "x2": 291.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000289"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000326.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 190.5,
      "y1": 194.0,
      "x2": 287.0,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000290"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000326.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 190.5,
      "y1": 194.0,
      "x2": 287.0,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000290"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000327.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 504.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 354.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000291"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000327.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 504.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 354.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000291"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000328.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 191.0,
      "x2": 272.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000292"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000328.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 191.0,
      "x2": 272.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000292"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000329.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 205.0,
      "x2": 213.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000293"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000329.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 205.0,
      "x2": 213.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000293"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000330.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 152.0,
      "x2": 445.5,
      "y2": 187.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000294"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000330.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 152.0,
      "x2": 445.5,
      "y2": 187.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000294"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000331.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 153.5,
      "x2": 441.0,
      "y2": 189.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000295"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000331.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 153.5,
      "x2": 441.0,
      "y2": 189.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000295"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000332.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 168.0,
      "x2": 476.0,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000296"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000332.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 168.0,
      "x2": 476.0,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000296"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000333.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 169.5,
      "x2": 483.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000297"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000333.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 169.5,
      "x2": 483.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000297"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000334.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 189.0,
      "x2": 298.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000298"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000334.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 189.0,
      "x2": 298.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000298"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000335.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 201.0,
      "x2": 267.5,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000299"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000335.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 201.0,
      "x2": 267.5,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000299"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000336.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 36.5,
      "y1": 204.5,
      "x2": 240.0,
      "y2": 354.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000300"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000336.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 36.5,
      "y1": 204.5,
      "x2": 240.0,
      "y2": 354.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000300"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000337.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.0,
      "x2": 212.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000301"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000337.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.0,
      "x2": 212.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000301"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000338.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 200.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000302"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000338.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 200.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000302"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000339.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 162.0,
      "x2": 442.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000303"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000339.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 162.0,
      "x2": 442.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000303"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000340.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 351.0,
      "y1": 166.5,
      "x2": 454.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000304"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000340.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 351.0,
      "y1": 166.5,
      "x2": 454.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000304"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000341.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 347.0,
      "y1": 168.0,
      "x2": 475.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000305"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000341.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 347.0,
      "y1": 168.0,
      "x2": 475.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000305"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000342.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 346.0,
      "y1": 163.5,
      "x2": 492.0,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000306"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000342.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 346.0,
      "y1": 163.5,
      "x2": 492.0,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000306"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000344.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 183.0,
      "x2": 639.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000307"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000344.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 183.0,
      "x2": 639.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000307"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000345.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 540.0,
      "y1": 188.0,
      "x2": 636.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000308"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000345.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 540.0,
      "y1": 188.0,
      "x2": 636.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000308"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000346.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 522.0,
      "y1": 189.5,
      "x2": 607.5,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000309"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000346.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 522.0,
      "y1": 189.5,
      "x2": 607.5,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000309"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000347.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 187.0,
      "x2": 577.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000310"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000347.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 187.0,
      "x2": 577.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000310"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000349.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 250.5,
      "y1": 177.5,
      "x2": 308.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000311"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000349.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 250.5,
      "y1": 177.5,
      "x2": 308.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000311"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000350.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 187.5,
      "x2": 292.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000312"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000350.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 187.5,
      "x2": 292.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000312"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000351.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 191.5,
      "x2": 276.5,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000313"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000351.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 191.5,
      "x2": 276.5,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000313"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000352.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 190.0,
      "x2": 265.0,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000314"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000352.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 190.0,
      "x2": 265.0,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000314"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000353.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 194.0,
      "x2": 258.0,
      "y2": 320.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000315"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000353.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 194.0,
      "x2": 258.0,
      "y2": 320.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000315"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000354.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 190.0,
      "x2": 311.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000316"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000354.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 190.0,
      "x2": 311.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000316"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000355.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 195.5,
      "x2": 313.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000317"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000355.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 195.5,
      "x2": 313.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000317"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000356.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 198.0,
      "x2": 309.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000318"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000356.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 198.0,
      "x2": 309.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000318"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000357.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 189.0,
      "x2": 637.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000319"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000357.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 189.0,
      "x2": 637.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000319"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000358.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 580.0,
      "y1": 191.0,
      "x2": 639.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000320"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000358.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 580.0,
      "y1": 191.0,
      "x2": 639.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000320"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000359.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 192.0,
      "x2": 399.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000321"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000359.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 192.0,
      "x2": 399.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000321"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000360.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 611.5,
      "y1": 194.0,
      "x2": 639.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000322"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000360.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 611.5,
      "y1": 194.0,
      "x2": 639.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000322"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000361.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 342.0,
      "y1": 165.0,
      "x2": 504.0,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000323"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000361.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 342.0,
      "y1": 165.0,
      "x2": 504.0,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000323"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000362.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 165.5,
      "x2": 492.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000324"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000362.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 165.5,
      "x2": 492.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000324"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000363.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 168.0,
      "x2": 461.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000325"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000363.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 168.0,
      "x2": 461.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000325"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000364.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 177.0,
      "x2": 426.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000326"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000364.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 177.0,
      "x2": 426.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000326"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000365.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 183.0,
      "x2": 397.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000327"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000365.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 183.0,
      "x2": 397.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000327"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000366.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 196.0,
      "x2": 389.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000328"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000366.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 196.0,
      "x2": 389.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000328"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000367.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 586.5,
      "y1": 194.5,
      "x2": 639.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000329"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000367.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 586.5,
      "y1": 194.5,
      "x2": 639.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000329"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000368.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 337.0,
      "y1": 216.0,
      "x2": 601.0,
      "y2": 374.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000330"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000368.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 337.0,
      "y1": 216.0,
      "x2": 601.0,
      "y2": 374.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000330"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000369.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 214.5,
      "x2": 599.0,
      "y2": 373.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000331"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000369.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 335.0,
      "y1": 214.5,
      "x2": 599.0,
      "y2": 373.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000331"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000370.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 216.0,
      "x2": 569.5,
      "y2": 364.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000332"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000370.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 216.0,
      "x2": 569.5,
      "y2": 364.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000332"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000371.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 216.5,
      "x2": 504.0,
      "y2": 349.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000333"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000371.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 216.5,
      "x2": 504.0,
      "y2": 349.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000333"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000372.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 215.0,
      "x2": 439.0,
      "y2": 331.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000334"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000372.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 215.0,
      "x2": 439.0,
      "y2": 331.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000334"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000373.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 194.0,
      "x2": 255.0,
      "y2": 327.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000335"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000373.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 194.0,
      "x2": 255.0,
      "y2": 327.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000335"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000374.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 195.0,
      "x2": 257.5,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000336"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000374.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 195.0,
      "x2": 257.5,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000336"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000375.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 197.0,
      "x2": 256.0,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000337"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000375.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 197.0,
      "x2": 256.0,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000337"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000376.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 52.5,
      "y1": 201.0,
      "x2": 248.5,
      "y2": 352.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000338"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000376.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 52.5,
      "y1": 201.0,
      "x2": 248.5,
      "y2": 352.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000338"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000377.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.5,
      "x2": 222.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000339"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000377.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.5,
      "x2": 222.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000339"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000378.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 187.5,
      "y1": 195.5,
      "x2": 286.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000340"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000378.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 187.5,
      "y1": 195.5,
      "x2": 286.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000340"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000379.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 196.0,
      "x2": 285.0,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000341"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000379.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 196.0,
      "x2": 285.0,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000341"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000380.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 197.0,
      "x2": 284.5,
      "y2": 271.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000342"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000380.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 197.0,
      "x2": 284.5,
      "y2": 271.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000342"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000381.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 202.5,
      "x2": 281.0,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000343"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000381.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 202.5,
      "x2": 281.0,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000343"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000382.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 205.5,
      "x2": 264.0,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000344"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000382.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 205.5,
      "x2": 264.0,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000344"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000383.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 200.5,
      "x2": 306.0,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000345"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000383.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 200.5,
      "x2": 306.0,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000345"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000384.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 198.5,
      "x2": 305.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000346"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000384.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 198.5,
      "x2": 305.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000346"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000387.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 205.5,
      "x2": 288.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000347"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000387.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 205.5,
      "x2": 288.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000347"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000389.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 218.0,
      "x2": 194.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000348"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000389.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 218.0,
      "x2": 194.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000348"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000390.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 197.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000349"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000390.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 197.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000349"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000391.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 227.0,
      "x2": 181.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000350"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000391.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 227.0,
      "x2": 181.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000350"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000393.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 191.5,
      "x2": 529.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000351"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000393.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 191.5,
      "x2": 529.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000351"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000394.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 604.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000352"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000394.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 604.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000352"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000395.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 166.5,
      "x2": 639.5,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000353"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000395.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 166.5,
      "x2": 639.5,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000353"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000396.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 478.5,
      "y1": 175.5,
      "x2": 573.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000354"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000396.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 478.5,
      "y1": 175.5,
      "x2": 573.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000354"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000397.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 594.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000355"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000397.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 594.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000355"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000398.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 326.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000356"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000398.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 326.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000356"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000399.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 163.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000357"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000399.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 163.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000357"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000401.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 283.0,
      "y1": 184.5,
      "x2": 354.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000358"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000401.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.0,
      "y1": 184.5,
      "x2": 354.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000358"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000402.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 184.5,
      "x2": 314.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000359"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000402.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 184.5,
      "x2": 314.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000359"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000404.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 55.5,
      "y1": 166.5,
      "x2": 158.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000360"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000404.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 55.5,
      "y1": 166.5,
      "x2": 158.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000360"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000405.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 209.5,
      "x2": 279.5,
      "y2": 289.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000361"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000405.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 209.5,
      "x2": 279.5,
      "y2": 289.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000361"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000406.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 89.5,
      "y1": 216.0,
      "x2": 259.0,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000362"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000406.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 89.5,
      "y1": 216.0,
      "x2": 259.0,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000362"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000407.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 287.5,
      "y1": 216.0,
      "x2": 399.0,
      "y2": 318.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000363"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000407.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.5,
      "y1": 216.0,
      "x2": 399.0,
      "y2": 318.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000363"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000408.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 284.5,
      "y1": 211.5,
      "x2": 386.5,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000364"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000408.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 284.5,
      "y1": 211.5,
      "x2": 386.5,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000364"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000409.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 211.5,
      "x2": 377.5,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000365"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000409.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 211.5,
      "x2": 377.5,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000365"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000411.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 207.0,
      "x2": 332.5,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000366"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000411.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 207.0,
      "x2": 332.5,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000366"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000412.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 200.0,
      "x2": 541.5,
      "y2": 269.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000367"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000412.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 200.0,
      "x2": 541.5,
      "y2": 269.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000367"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000413.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 201.0,
      "x2": 499.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000368"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000413.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 201.0,
      "x2": 499.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000368"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000414.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 67.5,
      "y1": 209.0,
      "x2": 245.0,
      "y2": 340.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000369"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000414.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 67.5,
      "y1": 209.0,
      "x2": 245.0,
      "y2": 340.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000369"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000415.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 200.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000370"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000415.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 200.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000370"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000416.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000371"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000416.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000371"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000417.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 198.0,
      "x2": 368.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000372"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000417.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 198.0,
      "x2": 368.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000372"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000420.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 189.0,
      "x2": 233.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000373"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000420.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 189.0,
      "x2": 233.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000373"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000421.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 121.5,
      "y1": 186.5,
      "x2": 237.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000374"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000421.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 121.5,
      "y1": 186.5,
      "x2": 237.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000374"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000422.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 191.5,
      "x2": 271.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000375"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000422.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 191.5,
      "x2": 271.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000375"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000423.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 196.0,
      "y1": 195.0,
      "x2": 301.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000376"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000423.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 196.0,
      "y1": 195.0,
      "x2": 301.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000376"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000425.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 80.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000377"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000425.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 80.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000377"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000426.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 64.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000378"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000426.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 64.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000378"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000427.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 76.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000379"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000427.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 76.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000379"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000428.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 171.0,
      "x2": 109.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000380"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000428.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 171.0,
      "x2": 109.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000380"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000429.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 165.0,
      "x2": 170.0,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000381"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000429.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 165.0,
      "x2": 170.0,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000381"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000430.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 201.5,
      "x2": 290.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000382"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000430.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 201.5,
      "x2": 290.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000382"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000432.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 209.0,
      "x2": 293.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000383"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000432.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 209.0,
      "x2": 293.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000383"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000433.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 153.5,
      "y1": 213.5,
      "x2": 305.5,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000384"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000433.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 153.5,
      "y1": 213.5,
      "x2": 305.5,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000384"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000434.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 212.0,
      "x2": 320.5,
      "y2": 339.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000385"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000434.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 212.0,
      "x2": 320.5,
      "y2": 339.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000385"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000435.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 548.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000386"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000435.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 548.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000386"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000436.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 229.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000387"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000436.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 229.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000387"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000437.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 489.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000388"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000437.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 489.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000388"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000438.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 500.5,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 385.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000389"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000438.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.5,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 385.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000389"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000439.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 21.5,
      "y1": 174.0,
      "x2": 75.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000390"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000439.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 21.5,
      "y1": 174.0,
      "x2": 75.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000390"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000440.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 179.5,
      "x2": 210.5,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000391"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000440.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 179.5,
      "x2": 210.5,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000391"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000441.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 184.5,
      "x2": 351.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000392"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000441.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 184.5,
      "x2": 351.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000392"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000442.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 181.5,
      "x2": 505.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000393"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000442.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 181.5,
      "x2": 505.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000393"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000443.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 242.0,
      "y1": 168.5,
      "x2": 318.5,
      "y2": 203.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000394"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000443.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 242.0,
      "y1": 168.5,
      "x2": 318.5,
      "y2": 203.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000394"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000444.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 258.0,
      "y1": 190.5,
      "x2": 322.0,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000395"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000444.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 258.0,
      "y1": 190.5,
      "x2": 322.0,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000395"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000445.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 56.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000396"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000445.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 56.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000396"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000446.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 100.0,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000397"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000446.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 100.0,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000397"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000447.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 159.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000398"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000447.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 159.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000398"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000448.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 181.5,
      "x2": 409.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000399"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000448.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 181.5,
      "x2": 409.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000399"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000449.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 186.0,
      "x2": 510.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000400"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000449.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 186.0,
      "x2": 510.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000400"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000450.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 163.0,
      "x2": 255.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000401"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000450.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 163.0,
      "x2": 255.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000401"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000451.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 161.5,
      "x2": 358.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000402"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000451.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 161.5,
      "x2": 358.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000402"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000452.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 177.5,
      "x2": 515.5,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000403"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000452.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 177.5,
      "x2": 515.5,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000403"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000453.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 177.5,
      "x2": 614.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000404"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000453.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 177.5,
      "x2": 614.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000404"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000454.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 183.5,
      "x2": 130.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000405"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000454.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 183.5,
      "x2": 130.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000405"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000455.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 102.0,
      "y1": 194.0,
      "x2": 230.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000406"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000455.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 102.0,
      "y1": 194.0,
      "x2": 230.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000406"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000457.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000407"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000457.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000407"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000458.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 204.5,
      "x2": 365.0,
      "y2": 335.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000408"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000458.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 204.5,
      "x2": 365.0,
      "y2": 335.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000408"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000459.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 202.0,
      "x2": 449.5,
      "y2": 341.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000409"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000459.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 202.0,
      "x2": 449.5,
      "y2": 341.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000409"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000460.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 224.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000410"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000460.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 224.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000410"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000461.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 205.0,
      "x2": 456.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000411"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000461.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 205.0,
      "x2": 456.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000411"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000464.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 177.5,
      "y1": 197.0,
      "x2": 261.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000412"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000464.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 177.5,
      "y1": 197.0,
      "x2": 261.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000412"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000465.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 77.0,
      "y1": 197.5,
      "x2": 221.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000413"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000465.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 77.0,
      "y1": 197.5,
      "x2": 221.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000413"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000466.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 186.5,
      "y1": 194.0,
      "x2": 258.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000414"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000466.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 186.5,
      "y1": 194.0,
      "x2": 258.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000414"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000467.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 149.5,
      "x2": 512.5,
      "y2": 207.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000415"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000467.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 149.5,
      "x2": 512.5,
      "y2": 207.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000415"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000468.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 256.5,
      "y1": 193.0,
      "x2": 329.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000416"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000468.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 256.5,
      "y1": 193.0,
      "x2": 329.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000416"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000469.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 181.0,
      "x2": 522.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000417"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000469.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 181.0,
      "x2": 522.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000417"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000470.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 209.0,
      "x2": 620.5,
      "y2": 349.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000418"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000470.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 209.0,
      "x2": 620.5,
      "y2": 349.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000418"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000472.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 196.5,
      "x2": 528.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000419"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000472.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 196.5,
      "x2": 528.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000419"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000473.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 205.5,
      "x2": 624.0,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000420"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000473.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 205.5,
      "x2": 624.0,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000420"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000474.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000421"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000474.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000421"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000475.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 194.0,
      "x2": 457.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000422"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000475.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 194.0,
      "x2": 457.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000422"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000477.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 203.5,
      "x2": 536.5,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000423"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000477.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 203.5,
      "x2": 536.5,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000423"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000478.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 206.5,
      "x2": 593.5,
      "y2": 316.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000424"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000478.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 206.5,
      "x2": 593.5,
      "y2": 316.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000424"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000479.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 210.0,
      "x2": 630.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000425"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000479.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 210.0,
      "x2": 630.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000425"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000480.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 191.5,
      "x2": 374.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000426"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000480.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 191.5,
      "x2": 374.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000426"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000481.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 191.5,
      "x2": 383.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000427"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000481.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 191.5,
      "x2": 383.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000427"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000482.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 251.5,
      "y1": 196.5,
      "x2": 383.0,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000428"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000482.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 251.5,
      "y1": 196.5,
      "x2": 383.0,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000428"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000483.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 253.0,
      "y1": 196.5,
      "x2": 382.5,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000429"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000483.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 253.0,
      "y1": 196.5,
      "x2": 382.5,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000429"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000484.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 197.0,
      "x2": 388.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000430"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000484.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 197.0,
      "x2": 388.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000430"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000485.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 474.5,
      "y1": 112.0,
      "x2": 639.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000431"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000485.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 474.5,
      "y1": 112.0,
      "x2": 639.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000431"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000487.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 188.5,
      "x2": 286.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000432"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000487.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 188.5,
      "x2": 286.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000432"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000488.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 189.0,
      "x2": 248.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000433"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000488.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 189.0,
      "x2": 248.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000433"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000489.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 108.5,
      "y1": 192.0,
      "x2": 216.5,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000434"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000489.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 108.5,
      "y1": 192.0,
      "x2": 216.5,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000434"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000490.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 194.5,
      "x2": 193.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000435"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000490.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 194.5,
      "x2": 193.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000435"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000491.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 197.0,
      "x2": 180.0,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000436"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000491.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 197.0,
      "x2": 180.0,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000436"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000492.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 170.0,
      "x2": 588.5,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000437"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000492.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 170.0,
      "x2": 588.5,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000437"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000493.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 169.5,
      "x2": 556.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000438"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000493.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 169.5,
      "x2": 556.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000438"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000494.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 191.0,
      "x2": 482.0,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000439"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000494.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 191.0,
      "x2": 482.0,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000439"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000495.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 192.5,
      "x2": 403.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000440"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000495.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 192.5,
      "x2": 403.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000440"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000496.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 191.0,
      "x2": 358.0,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000441"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000496.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 191.0,
      "x2": 358.0,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000441"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000497.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 210.5,
      "x2": 638.5,
      "y2": 344.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000442"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000497.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 210.5,
      "x2": 638.5,
      "y2": 344.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000442"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000498.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 213.0,
      "x2": 638.0,
      "y2": 345.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000443"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000498.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 213.0,
      "x2": 638.0,
      "y2": 345.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000443"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000499.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 347.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000444"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000499.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 347.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000444"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000500.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 213.0,
      "x2": 637.5,
      "y2": 346.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000445"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000500.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 213.0,
      "x2": 637.5,
      "y2": 346.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000445"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000501.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 213.0,
      "x2": 638.0,
      "y2": 346.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000446"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000501.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 213.0,
      "x2": 638.0,
      "y2": 346.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000446"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000502.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 198.5,
      "x2": 389.0,
      "y2": 326.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000447"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000502.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 198.5,
      "x2": 389.0,
      "y2": 326.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000447"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000503.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 198.5,
      "x2": 391.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000448"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000503.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 198.5,
      "x2": 391.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000448"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000504.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 242.0,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 327.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000449"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000504.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 242.0,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 327.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000449"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000505.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 243.5,
      "y1": 199.0,
      "x2": 390.0,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000450"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000505.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.5,
      "y1": 199.0,
      "x2": 390.0,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000450"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000506.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 198.5,
      "x2": 390.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000451"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000506.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 198.5,
      "x2": 390.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000451"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000507.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 195.5,
      "x2": 178.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000452"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000507.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 195.5,
      "x2": 178.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000452"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000508.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 195.0,
      "x2": 178.5,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000453"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000508.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 195.0,
      "x2": 178.5,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000453"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000509.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.5,
      "x2": 180.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000454"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000509.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.5,
      "x2": 180.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000454"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000510.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 195.0,
      "x2": 178.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000455"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000510.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 195.0,
      "x2": 178.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000455"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000511.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 196.0,
      "x2": 178.0,
      "y2": 323.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000456"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000511.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 196.0,
      "x2": 178.0,
      "y2": 323.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000456"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000512.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 182.5,
      "x2": 588.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000457"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000512.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 182.5,
      "x2": 588.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000457"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000513.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 579.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000458"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000513.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 579.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000458"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000514.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 484.5,
      "y1": 191.5,
      "x2": 553.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000459"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000514.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 484.5,
      "y1": 191.5,
      "x2": 553.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000459"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000515.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.5,
      "y1": 195.0,
      "x2": 179.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000460"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000515.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.5,
      "y1": 195.0,
      "x2": 179.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000460"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000516.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 195.5,
      "x2": 179.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000461"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000516.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 195.5,
      "x2": 179.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000461"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000517.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 195.0,
      "x2": 178.5,
      "y2": 323.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000462"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000517.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 195.0,
      "x2": 178.5,
      "y2": 323.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000462"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000518.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 195.0,
      "x2": 178.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000463"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000518.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 195.0,
      "x2": 178.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000463"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000520.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 346.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000464"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000520.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 346.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000464"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000521.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 212.5,
      "x2": 638.0,
      "y2": 345.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000465"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000521.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 212.5,
      "x2": 638.0,
      "y2": 345.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000465"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000522.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 213.0,
      "x2": 631.5,
      "y2": 344.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000466"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000522.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 213.0,
      "x2": 631.5,
      "y2": 344.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000466"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000523.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 211.5,
      "x2": 622.5,
      "y2": 337.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000467"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000523.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 211.5,
      "x2": 622.5,
      "y2": 337.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000467"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000524.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 209.0,
      "x2": 572.5,
      "y2": 311.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000468"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000524.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 209.0,
      "x2": 572.5,
      "y2": 311.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000468"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000525.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 199.0,
      "x2": 389.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000469"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000525.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 199.0,
      "x2": 389.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000469"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000527.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 199.0,
      "x2": 391.0,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000470"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000527.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 199.0,
      "x2": 391.0,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000470"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000529.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 249.5,
      "y1": 198.5,
      "x2": 384.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000471"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000529.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 249.5,
      "y1": 198.5,
      "x2": 384.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000471"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000530.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 486.0,
      "y1": 176.0,
      "x2": 537.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000472"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000530.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 486.0,
      "y1": 176.0,
      "x2": 537.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000472"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000531.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 199.5,
      "x2": 384.0,
      "y2": 310.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000473"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000531.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 199.5,
      "x2": 384.0,
      "y2": 310.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000473"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000532.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 201.5,
      "x2": 386.5,
      "y2": 292.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000474"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000532.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 201.5,
      "x2": 386.5,
      "y2": 292.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000474"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000533.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 200.0,
      "x2": 385.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000475"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000533.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 200.0,
      "x2": 385.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000475"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000534.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 200.5,
      "x2": 378.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000476"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000534.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 200.5,
      "x2": 378.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000476"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000535.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 195.0,
      "x2": 371.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000477"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000535.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 195.0,
      "x2": 371.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000477"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000536.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 205.0,
      "x2": 516.0,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000478"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000536.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 205.0,
      "x2": 516.0,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000478"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000537.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 401.5,
      "y1": 201.0,
      "x2": 478.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000479"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000537.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 401.5,
      "y1": 201.0,
      "x2": 478.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000479"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000538.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 199.5,
      "x2": 452.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000480"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000538.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 199.5,
      "x2": 452.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000480"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000540.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.0,
      "x2": 177.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000481"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000540.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.0,
      "x2": 177.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000481"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000541.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 158.0,
      "y2": 356.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000482"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000541.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 158.0,
      "y2": 356.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000482"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000542.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 504.5,
      "y1": 227.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000483"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000542.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 504.5,
      "y1": 227.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000483"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000544.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 208.0,
      "x2": 573.0,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000484"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000544.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 208.0,
      "x2": 573.0,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000484"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000545.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 203.5,
      "x2": 513.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000485"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000545.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 203.5,
      "x2": 513.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000485"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000546.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 596.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 339.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000486"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000546.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 596.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 339.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000486"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000547.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000487"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000547.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000487"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000548.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 588.5,
      "y1": 174.0,
      "x2": 639.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000488"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000548.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 588.5,
      "y1": 174.0,
      "x2": 639.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000488"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000549.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 198.5,
      "x2": 639.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000489"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000549.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 198.5,
      "x2": 639.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000489"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000550.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 198.5,
      "x2": 627.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000490"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000550.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 198.5,
      "x2": 627.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000490"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000551.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 515.5,
      "y1": 199.5,
      "x2": 589.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000491"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000551.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 515.5,
      "y1": 199.5,
      "x2": 589.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000491"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000552.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 193.0,
      "x2": 615.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000492"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000552.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 193.0,
      "x2": 615.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000492"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000553.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 152.5,
      "y1": 196.0,
      "x2": 211.0,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000493"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000553.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.5,
      "y1": 196.0,
      "x2": 211.0,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000493"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000554.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 196.0,
      "x2": 166.0,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000494"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000554.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 196.0,
      "x2": 166.0,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000494"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000555.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 197.0,
      "x2": 554.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000495"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000555.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 197.0,
      "x2": 554.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000495"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000556.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 193.5,
      "x2": 547.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000496"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000556.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 193.5,
      "x2": 547.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000496"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000557.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 195.5,
      "x2": 374.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000497"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000557.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 195.5,
      "x2": 374.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000497"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000558.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 195.5,
      "x2": 377.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000498"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000558.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 195.5,
      "x2": 377.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000498"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000561.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 195.0,
      "x2": 364.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000499"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000561.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 195.0,
      "x2": 364.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000499"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000562.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 171.0,
      "x2": 576.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000500"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000562.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 171.0,
      "x2": 576.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000500"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000563.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 545.5,
      "y1": 171.5,
      "x2": 620.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000501"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000563.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 545.5,
      "y1": 171.5,
      "x2": 620.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000501"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000564.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 195.0,
      "x2": 240.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000502"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000564.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 195.0,
      "x2": 240.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000502"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000565.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 124.0,
      "y1": 195.0,
      "x2": 207.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000503"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000565.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 124.0,
      "y1": 195.0,
      "x2": 207.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000503"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000566.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 192.0,
      "y1": 193.0,
      "x2": 245.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000504"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000566.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 192.0,
      "y1": 193.0,
      "x2": 245.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000504"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000567.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 195.0,
      "x2": 227.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000505"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000567.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 195.0,
      "x2": 227.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000505"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000568.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 200.0,
      "x2": 197.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000506"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000568.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 200.0,
      "x2": 197.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000506"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000569.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.0,
      "x2": 140.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000507"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000569.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.0,
      "x2": 140.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000507"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000570.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 178.5,
      "y1": 179.5,
      "x2": 241.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000508"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000570.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 178.5,
      "y1": 179.5,
      "x2": 241.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000508"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000571.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 193.0,
      "x2": 226.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000509"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000571.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 193.0,
      "x2": 226.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000509"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000574.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 200.0,
      "x2": 191.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000510"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000574.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 200.0,
      "x2": 191.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000510"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000575.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 200.0,
      "x2": 147.0,
      "y2": 289.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000511"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000575.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 200.0,
      "x2": 147.0,
      "y2": 289.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000511"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000576.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 193.5,
      "x2": 363.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000512"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000576.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 193.5,
      "x2": 363.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000512"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000577.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 201.5,
      "x2": 373.5,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000513"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000577.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 201.5,
      "x2": 373.5,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000513"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000578.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 196.5,
      "x2": 367.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000514"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000578.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 196.5,
      "x2": 367.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000514"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000579.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 259.5,
      "y1": 190.0,
      "x2": 350.5,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000515"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000579.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 259.5,
      "y1": 190.0,
      "x2": 350.5,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000515"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000580.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 190.5,
      "x2": 346.0,
      "y2": 278.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000516"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000580.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 190.5,
      "x2": 346.0,
      "y2": 278.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000516"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000581.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 194.0,
      "x2": 287.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000517"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000581.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 194.0,
      "x2": 287.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000517"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000582.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 191.0,
      "x2": 265.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000518"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000582.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 191.0,
      "x2": 265.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000518"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000584.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 197.5,
      "x2": 220.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000519"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000584.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 197.5,
      "x2": 220.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000519"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000585.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 55.5,
      "y1": 202.5,
      "x2": 177.0,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000520"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000585.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 55.5,
      "y1": 202.5,
      "x2": 177.0,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000520"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000586.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 206.5,
      "x2": 121.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000521"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000586.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 206.5,
      "x2": 121.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000521"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000587.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 194.5,
      "x2": 391.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000522"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000587.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 194.5,
      "x2": 391.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000522"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000588.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 191.5,
      "x2": 404.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000523"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000588.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 191.5,
      "x2": 404.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000523"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000589.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 186.0,
      "x2": 425.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000524"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000589.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 186.0,
      "x2": 425.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000524"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000590.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000525"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000590.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000525"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000591.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 581.0,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000526"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000591.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 581.0,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000526"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000592.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 588.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000527"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000592.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 588.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000527"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000593.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 189.5,
      "x2": 610.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000528"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000593.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 189.5,
      "x2": 610.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000528"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000594.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 194.5,
      "x2": 509.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000529"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000594.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 194.5,
      "x2": 509.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000529"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000595.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 193.0,
      "x2": 547.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000530"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000595.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 193.0,
      "x2": 547.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000530"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000596.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 263.5,
      "y1": 189.0,
      "x2": 341.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000531"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000596.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 263.5,
      "y1": 189.0,
      "x2": 341.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000531"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000597.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 105.0,
      "y1": 171.0,
      "x2": 178.0,
      "y2": 200.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000532"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000597.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 105.0,
      "y1": 171.0,
      "x2": 178.0,
      "y2": 200.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000532"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000598.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 189.5,
      "x2": 482.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000533"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000598.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 189.5,
      "x2": 482.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000533"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000599.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 189.0,
      "x2": 493.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000534"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000599.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 189.0,
      "x2": 493.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000534"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000601.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.0,
      "x2": 495.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000535"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000601.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.0,
      "x2": 495.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000535"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000602.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000536"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000602.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000536"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000603.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 191.0,
      "x2": 374.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000537"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000603.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 191.0,
      "x2": 374.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000537"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000604.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 195.0,
      "x2": 382.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000538"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000604.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 195.0,
      "x2": 382.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000538"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000605.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 196.0,
      "x2": 384.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000539"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000605.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 196.0,
      "x2": 384.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000539"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000606.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 196.5,
      "x2": 382.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000540"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000606.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 196.5,
      "x2": 382.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000540"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000607.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 196.5,
      "x2": 380.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000541"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000607.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 196.5,
      "x2": 380.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000541"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000608.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 166.5,
      "x2": 179.5,
      "y2": 201.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000542"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000608.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 166.5,
      "x2": 179.5,
      "y2": 201.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000542"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000609.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 167.0,
      "x2": 182.5,
      "y2": 204.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000543"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000609.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 167.0,
      "x2": 182.5,
      "y2": 204.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000543"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000610.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 458.0,
      "y1": 197.5,
      "x2": 608.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000544"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000610.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 458.0,
      "y1": 197.5,
      "x2": 608.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000544"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000611.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 200.0,
      "x2": 626.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000545"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000611.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 200.0,
      "x2": 626.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000545"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000612.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 200.0,
      "x2": 626.5,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000546"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000612.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 200.0,
      "x2": 626.5,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000546"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000613.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 200.5,
      "x2": 627.0,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000547"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000613.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 200.5,
      "x2": 627.0,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000547"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000614.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.5,
      "x2": 627.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000548"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000614.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.5,
      "x2": 627.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000548"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000615.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 583.5,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000549"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000615.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 583.5,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000549"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000616.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 195.5,
      "x2": 639.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000550"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000616.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 195.5,
      "x2": 639.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000550"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000618.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 196.5,
      "x2": 261.0,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000551"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000618.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 196.5,
      "x2": 261.0,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000551"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000619.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000552"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000619.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000552"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000620.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000553"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000620.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000553"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000621.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000554"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000621.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000554"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000622.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 195.0,
      "x2": 359.5,
      "y2": 303.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000555"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000622.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 195.0,
      "x2": 359.5,
      "y2": 303.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000555"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000623.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 194.0,
      "x2": 367.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000556"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000623.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 194.0,
      "x2": 367.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000556"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000624.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000557"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000624.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000557"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000625.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.5,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000558"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000625.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.5,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000558"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000626.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.5,
      "x2": 369.0,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000559"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000626.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.5,
      "x2": 369.0,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000559"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000627.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000560"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000627.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000560"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000628.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 584.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000561"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000628.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 584.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000561"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000630.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000562"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000630.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000562"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000631.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000563"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000631.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000563"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000633.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 495.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000564"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000633.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 495.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000564"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000634.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 216.5,
      "y1": 195.5,
      "x2": 367.5,
      "y2": 318.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000565"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000634.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 216.5,
      "y1": 195.5,
      "x2": 367.5,
      "y2": 318.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000565"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000635.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 216.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000566"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000635.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 216.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000566"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000636.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000567"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000636.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000567"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000637.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 197.0,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000568"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000637.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 197.0,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000568"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000638.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 368.5,
      "y2": 320.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000569"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000638.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 368.5,
      "y2": 320.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000569"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000640.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000570"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000640.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000570"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000641.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000571"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000641.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000571"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000642.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 348.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000572"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000642.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 348.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000572"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000643.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 206.0,
      "x2": 618.5,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000573"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000643.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 206.0,
      "x2": 618.5,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000573"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000644.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 526.0,
      "y1": 192.5,
      "x2": 612.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000574"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000644.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 526.0,
      "y1": 192.5,
      "x2": 612.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000574"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000646.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 193.0,
      "x2": 612.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000575"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000646.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.0,
      "y1": 193.0,
      "x2": 612.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000575"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000647.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 192.5,
      "x2": 612.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000576"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000647.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 192.5,
      "x2": 612.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000576"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000648.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 524.0,
      "y1": 193.0,
      "x2": 612.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000577"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000648.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 524.0,
      "y1": 193.0,
      "x2": 612.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000577"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000649.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 196.5,
      "x2": 382.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000578"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000649.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 196.5,
      "x2": 382.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000578"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000650.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 197.0,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000579"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000650.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 197.0,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000579"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000651.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000580"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000651.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000580"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000652.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 197.5,
      "x2": 380.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000581"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000652.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 197.5,
      "x2": 380.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000581"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000653.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 198.0,
      "x2": 381.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000582"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000653.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 198.0,
      "x2": 381.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000582"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000654.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000583"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000654.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000583"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000655.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000584"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000655.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000584"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000656.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000585"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000656.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000585"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000658.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 585.5,
      "y1": 191.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000586"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000658.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 585.5,
      "y1": 191.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000586"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000659.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 202.0,
      "x2": 627.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000587"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000659.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 202.0,
      "x2": 627.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000587"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000660.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.0,
      "x2": 625.0,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000588"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000660.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.0,
      "x2": 625.0,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000588"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000661.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.5,
      "x2": 625.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000589"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000661.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 199.5,
      "x2": 625.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000589"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000662.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 198.0,
      "x2": 625.5,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000590"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000662.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 198.0,
      "x2": 625.5,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000590"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000663.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 197.5,
      "x2": 627.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000591"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000663.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 197.5,
      "x2": 627.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000591"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000664.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 197.5,
      "x2": 262.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000592"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000664.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 197.5,
      "x2": 262.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000592"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000665.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.0,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000593"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000665.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.0,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000593"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000666.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 197.5,
      "x2": 260.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000594"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000666.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 197.5,
      "x2": 260.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000594"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000667.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000595"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000667.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000595"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000668.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000596"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000668.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.0,
      "x2": 262.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000596"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000669.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 367.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000597"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000669.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 367.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000597"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000670.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 197.0,
      "x2": 370.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000598"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000670.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 197.0,
      "x2": 370.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000598"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000671.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000599"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000671.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000599"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000672.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 197.0,
      "x2": 369.0,
      "y2": 320.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000600"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000672.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 197.0,
      "x2": 369.0,
      "y2": 320.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000600"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000673.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.0,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000601"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000673.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.0,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000601"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000674.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 197.0,
      "x2": 380.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000602"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000674.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 197.0,
      "x2": 380.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000602"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000676.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 197.5,
      "x2": 381.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000603"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000676.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 197.5,
      "x2": 381.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000603"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000677.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.0,
      "x2": 381.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000604"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000677.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.0,
      "x2": 381.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000604"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000678.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.5,
      "x2": 380.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000605"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000678.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.5,
      "x2": 380.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000605"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000679.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 199.5,
      "x2": 624.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000606"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000679.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 199.5,
      "x2": 624.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000606"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000680.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 200.0,
      "x2": 627.0,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000607"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000680.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 200.0,
      "x2": 627.0,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000607"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000681.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 200.0,
      "x2": 629.0,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000608"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000681.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 200.0,
      "x2": 629.0,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000608"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000682.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 199.5,
      "x2": 628.0,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000609"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000682.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 199.5,
      "x2": 628.0,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000609"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000683.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 199.5,
      "x2": 628.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000610"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000683.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 199.5,
      "x2": 628.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000610"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000684.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 198.0,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000611"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000684.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.0,
      "y1": 198.0,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000611"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000685.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000612"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000685.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000612"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000686.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 261.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000613"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000686.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 261.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000613"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000687.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 199.0,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000614"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000687.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 199.0,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000614"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000688.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000615"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000688.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 262.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000615"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000689.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 190.0,
      "x2": 497.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000616"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000689.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 190.0,
      "x2": 497.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000616"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000691.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 496.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000617"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000691.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 496.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000617"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000692.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 495.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000618"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000692.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 495.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000618"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000693.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.0,
      "x2": 498.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000619"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000693.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.0,
      "x2": 498.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000619"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000694.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 393.5,
      "y1": 205.0,
      "x2": 595.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000620"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000694.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 393.5,
      "y1": 205.0,
      "x2": 595.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000620"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000695.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.0,
      "x2": 582.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000621"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000695.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.0,
      "x2": 582.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000621"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000696.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000622"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000696.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000622"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000697.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.5,
      "x2": 579.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000623"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000697.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.5,
      "x2": 579.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000623"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000698.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000624"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000698.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000624"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000699.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 197.0,
      "x2": 380.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000625"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000699.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 197.0,
      "x2": 380.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000625"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000700.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.5,
      "x2": 379.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000626"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000700.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 197.5,
      "x2": 379.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000626"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000701.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 197.0,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000627"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000701.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 197.0,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000627"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000702.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 196.5,
      "x2": 381.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000628"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000702.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 196.5,
      "x2": 381.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000628"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000704.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 198.0,
      "x2": 262.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000629"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000704.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 198.0,
      "x2": 262.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000629"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000705.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000630"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000705.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 261.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000630"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000707.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000631"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000707.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000631"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000708.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 261.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000632"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000708.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 198.5,
      "x2": 261.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000632"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000709.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000633"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000709.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000633"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000710.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000634"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000710.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000634"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000711.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000635"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000711.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000635"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000712.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000636"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000712.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.0,
      "x2": 496.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000636"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000714.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 201.0,
      "x2": 626.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000637"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000714.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 201.0,
      "x2": 626.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000637"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000715.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 199.0,
      "x2": 631.0,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000638"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000715.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 199.0,
      "x2": 631.0,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000638"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000716.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 200.0,
      "x2": 629.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000639"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000716.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 200.0,
      "x2": 629.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000639"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000717.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 198.0,
      "x2": 626.0,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000640"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000717.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 198.0,
      "x2": 626.0,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000640"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000718.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 198.0,
      "x2": 628.0,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000641"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000718.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 198.0,
      "x2": 628.0,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000641"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000719.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 196.5,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000642"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000719.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.5,
      "y1": 196.5,
      "x2": 369.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000642"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000720.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000643"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000720.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000643"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000721.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.5,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000644"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000721.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.5,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000644"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000724.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000645"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000724.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000645"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000725.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000646"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000725.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000646"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000726.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000647"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000726.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000647"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000728.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 204.5,
      "x2": 580.0,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000648"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000728.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 204.5,
      "x2": 580.0,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000648"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000729.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 573.0,
      "y1": 190.0,
      "x2": 636.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000649"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000729.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 573.0,
      "y1": 190.0,
      "x2": 636.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000649"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000730.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.0,
      "x2": 497.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000650"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000730.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.0,
      "x2": 497.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000650"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000731.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.5,
      "x2": 495.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000651"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000731.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.5,
      "x2": 495.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000651"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000732.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 190.0,
      "x2": 494.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000652"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000732.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 190.0,
      "x2": 494.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000652"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000733.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 190.5,
      "x2": 453.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000653"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000733.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 334.5,
      "y1": 190.5,
      "x2": 453.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000653"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000736.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000654"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000736.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 205.0,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000654"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000737.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000655"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000737.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 204.5,
      "x2": 580.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000655"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000739.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 204.5,
      "x2": 568.5,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000656"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000739.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 204.5,
      "x2": 568.5,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000656"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000740.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000657"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000740.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 197.5,
      "x2": 260.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000657"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000741.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.5,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000658"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000741.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.5,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000658"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000742.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 198.0,
      "x2": 260.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000659"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000742.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 198.0,
      "x2": 260.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000659"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000744.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 132.0,
      "y1": 196.0,
      "x2": 219.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000660"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000744.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 132.0,
      "y1": 196.0,
      "x2": 219.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000660"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000745.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 196.5,
      "x2": 367.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000661"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000745.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 196.5,
      "x2": 367.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000661"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000746.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.0,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000662"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000746.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.0,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000662"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000747.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.0,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000663"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000747.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.0,
      "x2": 368.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000663"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000748.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000664"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000748.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 196.5,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000664"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000749.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 196.0,
      "x2": 368.0,
      "y2": 318.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000665"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000749.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 196.0,
      "x2": 368.0,
      "y2": 318.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000665"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000751.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 197.0,
      "x2": 382.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000666"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000751.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 197.0,
      "x2": 382.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000666"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000752.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 196.5,
      "x2": 380.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000667"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000752.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 196.5,
      "x2": 380.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000667"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000753.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 201.0,
      "x2": 625.5,
      "y2": 281.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000668"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000753.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 201.0,
      "x2": 625.5,
      "y2": 281.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000668"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000755.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 200.0,
      "x2": 628.0,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000669"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000755.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 200.0,
      "x2": 628.0,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000669"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000756.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 198.5,
      "x2": 629.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000670"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000756.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 198.5,
      "x2": 629.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000670"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000757.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 200.0,
      "x2": 602.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000671"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000757.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 200.0,
      "x2": 602.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000671"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000758.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 542.0,
      "y1": 195.0,
      "x2": 597.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000672"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000758.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 542.0,
      "y1": 195.0,
      "x2": 597.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000672"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000759.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 552.5,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000673"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000759.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 552.5,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000673"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000761.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 154.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000674"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000761.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 154.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000674"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000762.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 151.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000675"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000762.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 151.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000675"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000764.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 88.0,
      "y1": 191.0,
      "x2": 168.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000676"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000764.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 88.0,
      "y1": 191.0,
      "x2": 168.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000676"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000765.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 193.5,
      "x2": 95.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000677"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000765.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 193.5,
      "x2": 95.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000677"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000766.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 213.5,
      "y1": 196.0,
      "x2": 350.5,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000678"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000766.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 213.5,
      "y1": 196.0,
      "x2": 350.5,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000678"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000767.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 201.0,
      "x2": 306.0,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000679"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000767.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 201.0,
      "x2": 306.0,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000679"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000768.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 201.5,
      "x2": 239.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000680"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000768.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 201.5,
      "x2": 239.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000680"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000769.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 75.5,
      "y1": 198.0,
      "x2": 168.5,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000681"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000769.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 75.5,
      "y1": 198.0,
      "x2": 168.5,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000681"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000770.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 198.0,
      "x2": 128.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000682"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000770.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 198.0,
      "x2": 128.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000682"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000771.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 528.0,
      "y1": 194.0,
      "x2": 581.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000683"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000771.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 528.0,
      "y1": 194.0,
      "x2": 581.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000683"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000772.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 191.5,
      "x2": 248.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000684"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000772.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 191.5,
      "x2": 248.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000684"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000773.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 194.5,
      "x2": 182.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000685"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000773.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 194.5,
      "x2": 182.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000685"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000774.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 196.0,
      "x2": 111.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000686"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000774.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 196.0,
      "x2": 111.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000686"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000775.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 6.5,
      "y1": 195.5,
      "x2": 65.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000687"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000775.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 6.5,
      "y1": 195.5,
      "x2": 65.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000687"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000776.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 352.5,
      "y1": 200.5,
      "x2": 525.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000688"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000776.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 352.5,
      "y1": 200.5,
      "x2": 525.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000688"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000777.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 205.0,
      "x2": 470.0,
      "y2": 289.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000689"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000777.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 205.0,
      "x2": 470.0,
      "y2": 289.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000689"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000778.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 206.5,
      "x2": 418.0,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000690"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000778.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 206.5,
      "x2": 418.0,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000690"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000779.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 203.5,
      "x2": 404.5,
      "y2": 278.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000691"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000779.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 203.5,
      "x2": 404.5,
      "y2": 278.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000691"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000780.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 292.5,
      "y1": 202.5,
      "x2": 433.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000692"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000780.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 292.5,
      "y1": 202.5,
      "x2": 433.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000692"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000781.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 186.0,
      "x2": 279.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000693"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000781.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 186.0,
      "x2": 279.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000693"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000782.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 189.5,
      "x2": 107.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000694"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000782.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 189.5,
      "x2": 107.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000694"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000783.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 179.0,
      "x2": 189.0,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000695"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000783.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 179.0,
      "x2": 189.0,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000695"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000785.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 202.0,
      "y1": 174.5,
      "x2": 332.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000696"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000785.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.0,
      "y1": 174.5,
      "x2": 332.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000696"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000786.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 205.0,
      "x2": 484.5,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000697"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000786.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 205.0,
      "x2": 484.5,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000697"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000787.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 384.5,
      "y1": 204.0,
      "x2": 557.0,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000698"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000787.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 384.5,
      "y1": 204.0,
      "x2": 557.0,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000698"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000788.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 202.5,
      "x2": 636.0,
      "y2": 310.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000699"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000788.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 202.5,
      "x2": 636.0,
      "y2": 310.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000699"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000789.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 110.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000700"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000789.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 110.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000700"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000790.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 168.5,
      "x2": 491.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000701"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000790.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 168.5,
      "x2": 491.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000701"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000791.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 26.5,
      "y1": 182.5,
      "x2": 88.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000702"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000791.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 26.5,
      "y1": 182.5,
      "x2": 88.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000702"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000792.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 71.5,
      "y1": 175.5,
      "x2": 175.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000703"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000792.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 71.5,
      "y1": 175.5,
      "x2": 175.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000703"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000794.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 182.0,
      "x2": 282.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000704"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000794.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 182.0,
      "x2": 282.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000704"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000795.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 194.5,
      "x2": 253.0,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000705"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000795.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 194.5,
      "x2": 253.0,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000705"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000796.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 189.5,
      "x2": 261.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000706"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000796.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 189.5,
      "x2": 261.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000706"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000798.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 461.0,
      "y1": 197.5,
      "x2": 524.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000707"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000798.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.0,
      "y1": 197.5,
      "x2": 524.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000707"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000799.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 201.0,
      "x2": 586.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000708"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000799.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 201.0,
      "x2": 586.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000708"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000800.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 198.5,
      "x2": 278.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000709"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000800.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 198.5,
      "x2": 278.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000709"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000801.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 134.0,
      "y1": 208.5,
      "x2": 252.0,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000710"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000801.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 134.0,
      "y1": 208.5,
      "x2": 252.0,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000710"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000802.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 231.0,
      "y1": 194.5,
      "x2": 289.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000711"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000802.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.0,
      "y1": 194.5,
      "x2": 289.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000711"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000803.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 168.0,
      "y1": 196.5,
      "x2": 262.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000712"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000803.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 168.0,
      "y1": 196.5,
      "x2": 262.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000712"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000804.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 193.0,
      "x2": 570.0,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000713"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000804.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 193.0,
      "x2": 570.0,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000713"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000805.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 24.5,
      "y1": 135.5,
      "x2": 242.5,
      "y2": 336.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000714"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000805.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 24.5,
      "y1": 135.5,
      "x2": 242.5,
      "y2": 336.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000714"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000806.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 534.5,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000715"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000806.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.5,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000715"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000807.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 194.5,
      "x2": 427.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000716"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000807.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 194.5,
      "x2": 427.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000716"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000808.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 394.0,
      "y1": 201.5,
      "x2": 460.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000717"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000808.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.0,
      "y1": 201.5,
      "x2": 460.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000717"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000809.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 205.5,
      "x2": 506.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000718"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000809.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 205.5,
      "x2": 506.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000718"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000810.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 213.5,
      "x2": 599.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000719"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000810.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 213.5,
      "x2": 599.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000719"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000811.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 196.0,
      "x2": 553.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000720"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000811.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 196.0,
      "x2": 553.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000720"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000812.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 4.5,
      "y1": 203.5,
      "x2": 218.5,
      "y2": 368.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000721"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000812.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 4.5,
      "y1": 203.5,
      "x2": 218.5,
      "y2": 368.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000721"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000813.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 185.0,
      "x2": 248.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000722"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000813.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 185.0,
      "x2": 248.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000722"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000814.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 63.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000723"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000814.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 63.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000723"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000815.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 31.0,
      "y1": 181.5,
      "x2": 131.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000724"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000815.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 31.0,
      "y1": 181.5,
      "x2": 131.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000724"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000816.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 137.5,
      "y1": 195.0,
      "x2": 258.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000725"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000816.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 137.5,
      "y1": 195.0,
      "x2": 258.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000725"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000817.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 294.5,
      "y1": 197.5,
      "x2": 442.5,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000726"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000817.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 294.5,
      "y1": 197.5,
      "x2": 442.5,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000726"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000818.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 153.5,
      "x2": 50.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000727"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000818.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 153.5,
      "x2": 50.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000727"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000819.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 115.5,
      "y1": 157.0,
      "x2": 211.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000728"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000819.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 115.5,
      "y1": 157.0,
      "x2": 211.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000728"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000820.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 151.0,
      "x2": 398.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000729"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000820.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 151.0,
      "x2": 398.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000729"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000821.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 191.0,
      "x2": 141.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000730"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000821.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 191.0,
      "x2": 141.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000730"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000822.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 76.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000731"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000822.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 76.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000731"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000823.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 116.0,
      "x2": 570.0,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000732"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000823.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 116.0,
      "x2": 570.0,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000732"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000825.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 410.5,
      "y1": 112.5,
      "x2": 603.5,
      "y2": 292.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000733"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000825.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 410.5,
      "y1": 112.5,
      "x2": 603.5,
      "y2": 292.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000733"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000828.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 398.5,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000734"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000828.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 398.5,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000734"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000830.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 174.5,
      "x2": 511.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000735"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000830.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 174.5,
      "x2": 511.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000735"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000831.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 488.5,
      "y1": 169.5,
      "x2": 639.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000736"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000831.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 488.5,
      "y1": 169.5,
      "x2": 639.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000736"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000832.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 167.0,
      "x2": 639.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000737"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000832.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 167.0,
      "x2": 639.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000737"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000833.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 168.0,
      "x2": 639.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000738"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000833.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 168.0,
      "x2": 639.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000738"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000834.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 170.0,
      "x2": 616.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000739"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000834.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 170.0,
      "x2": 616.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000739"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000835.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 171.0,
      "x2": 592.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000740"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000835.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 171.0,
      "x2": 592.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000740"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000836.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 169.0,
      "x2": 577.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000741"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000836.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 169.0,
      "x2": 577.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000741"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000837.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 179.0,
      "x2": 567.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000742"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000837.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 179.0,
      "x2": 567.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000742"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000838.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 227.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000743"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000838.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 227.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000743"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000840.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 234.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000744"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000840.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 234.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000744"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000842.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 156.0,
      "x2": 569.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000745"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000842.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 156.0,
      "x2": 569.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000745"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000843.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 132.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000746"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000843.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 132.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000746"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000844.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 107.0,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000747"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000844.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 107.0,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000747"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000845.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 205.0,
      "x2": 494.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000748"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000845.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 205.0,
      "x2": 494.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000748"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000846.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 201.5,
      "x2": 429.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000749"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000846.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 201.5,
      "x2": 429.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000749"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000847.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 337.0,
      "y1": 189.5,
      "x2": 409.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000750"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000847.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 337.0,
      "y1": 189.5,
      "x2": 409.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000750"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000848.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 188.5,
      "x2": 409.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000751"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000848.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 188.5,
      "x2": 409.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000751"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000849.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 189.5,
      "x2": 473.5,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000752"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000849.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 189.5,
      "x2": 473.5,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000752"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000850.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 194.0,
      "x2": 519.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000753"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000850.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 194.0,
      "x2": 519.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000753"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000851.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.5,
      "y1": 153.0,
      "x2": 448.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000754"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000851.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.5,
      "y1": 153.0,
      "x2": 448.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000754"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000852.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 148.0,
      "x2": 469.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000755"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000852.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 148.0,
      "x2": 469.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000755"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000853.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 190.5,
      "x2": 376.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000756"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000853.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 190.5,
      "x2": 376.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000756"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000854.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 196.0,
      "x2": 383.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000757"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000854.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 196.0,
      "x2": 383.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000757"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000855.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 202.5,
      "x2": 391.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000758"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000855.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 202.5,
      "x2": 391.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000758"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000856.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 200.5,
      "x2": 397.0,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000759"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000856.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 200.5,
      "x2": 397.0,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000759"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000857.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 203.5,
      "x2": 401.5,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000760"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000857.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 203.5,
      "x2": 401.5,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000760"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000858.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 205.5,
      "x2": 404.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000761"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000858.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 205.5,
      "x2": 404.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000761"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000859.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 135.5,
      "x2": 514.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000762"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000859.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 135.5,
      "x2": 514.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000762"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000860.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 129.0,
      "x2": 550.0,
      "y2": 271.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000763"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000860.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 129.0,
      "x2": 550.0,
      "y2": 271.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000763"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000861.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 125.5,
      "x2": 559.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000764"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000861.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 125.5,
      "x2": 559.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000764"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000862.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 136.5,
      "x2": 542.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000765"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000862.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 136.5,
      "x2": 542.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000765"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000863.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 146.0,
      "x2": 513.0,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000766"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000863.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 146.0,
      "x2": 513.0,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000766"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000864.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 544.0,
      "y1": 121.5,
      "x2": 639.5,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000767"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000864.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 544.0,
      "y1": 121.5,
      "x2": 639.5,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000767"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000865.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 128.0,
      "x2": 639.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000768"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000865.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 128.0,
      "x2": 639.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000768"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000866.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 539.0,
      "y1": 126.0,
      "x2": 639.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000769"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000866.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 539.0,
      "y1": 126.0,
      "x2": 639.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000769"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000867.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 131.5,
      "x2": 639.5,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000770"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000867.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 131.5,
      "x2": 639.5,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000770"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000868.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 133.5,
      "x2": 639.5,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000771"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000868.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 133.5,
      "x2": 639.5,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000771"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000869.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 200.0,
      "x2": 615.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000772"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000869.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 200.0,
      "x2": 615.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000772"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000870.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 345.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000773"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000870.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 345.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000773"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000871.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000774"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000871.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000774"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000872.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 509.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000775"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000872.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 509.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000775"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000873.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 390.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000776"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000873.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 390.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000776"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000874.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 193.0,
      "x2": 446.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000777"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000874.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 193.0,
      "x2": 446.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000777"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000875.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 483.0,
      "y2": 363.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000778"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000875.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 483.0,
      "y2": 363.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000778"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000877.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 199.5,
      "x2": 503.5,
      "y2": 389.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000779"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000877.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 199.5,
      "x2": 503.5,
      "y2": 389.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000779"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000878.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 201.0,
      "x2": 495.5,
      "y2": 389.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000780"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000878.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 201.0,
      "x2": 495.5,
      "y2": 389.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000780"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000880.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 140.0,
      "x2": 639.5,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000781"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000880.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 140.0,
      "x2": 639.5,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000781"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000881.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 461.0,
      "y1": 146.5,
      "x2": 622.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000782"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000881.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.0,
      "y1": 146.5,
      "x2": 622.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000782"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000883.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 158.0,
      "x2": 574.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000783"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000883.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 158.0,
      "x2": 574.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000783"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000884.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 293.5,
      "y1": 198.5,
      "x2": 511.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000784"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000884.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 293.5,
      "y1": 198.5,
      "x2": 511.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000784"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000885.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 294.5,
      "y1": 198.5,
      "x2": 495.0,
      "y2": 392.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000785"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000885.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 294.5,
      "y1": 198.5,
      "x2": 495.0,
      "y2": 392.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000785"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000886.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 295.0,
      "y1": 199.0,
      "x2": 462.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000786"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000886.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 295.0,
      "y1": 199.0,
      "x2": 462.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000786"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000887.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 200.5,
      "x2": 436.5,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000787"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000887.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 200.5,
      "x2": 436.5,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000787"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000888.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 200.0,
      "x2": 414.5,
      "y2": 327.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000788"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000888.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 200.0,
      "x2": 414.5,
      "y2": 327.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000788"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000889.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000789"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000889.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000789"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000890.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 204.5,
      "x2": 604.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000790"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000890.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 204.5,
      "x2": 604.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000790"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000891.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 203.5,
      "x2": 523.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000791"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000891.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 203.5,
      "x2": 523.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000791"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000892.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 202.0,
      "x2": 481.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000792"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000892.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 202.0,
      "x2": 481.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000792"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000893.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 198.5,
      "x2": 460.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000793"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000893.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 198.5,
      "x2": 460.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000793"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000894.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 144.5,
      "x2": 489.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000794"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000894.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 144.5,
      "x2": 489.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000794"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000895.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 154.5,
      "x2": 460.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000795"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000895.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 154.5,
      "x2": 460.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000795"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000896.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 368.0,
      "y1": 162.0,
      "x2": 445.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000796"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000896.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 368.0,
      "y1": 162.0,
      "x2": 445.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000796"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000897.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 356.0,
      "y1": 166.5,
      "x2": 428.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000797"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000897.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 356.0,
      "y1": 166.5,
      "x2": 428.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000797"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000898.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 200.5,
      "x2": 402.0,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000798"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000898.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 200.5,
      "x2": 402.0,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000798"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000899.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 551.5,
      "y1": 232.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000799"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000899.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 551.5,
      "y1": 232.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000799"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000900.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 154.5,
      "x2": 574.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000800"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000900.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 154.5,
      "x2": 574.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000800"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000901.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 146.0,
      "x2": 573.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000801"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000901.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 146.0,
      "x2": 573.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000801"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000902.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 136.0,
      "x2": 580.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000802"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000902.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 136.0,
      "x2": 580.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000802"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000903.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 127.5,
      "x2": 587.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000803"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000903.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 127.5,
      "x2": 587.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000803"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000904.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 359.0,
      "y1": 130.5,
      "x2": 567.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000804"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000904.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 359.0,
      "y1": 130.5,
      "x2": 567.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000804"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000905.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 199.0,
      "x2": 398.0,
      "y2": 317.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000805"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000905.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 199.0,
      "x2": 398.0,
      "y2": 317.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000805"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000906.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 390.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000806"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000906.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 390.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000806"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000907.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 194.0,
      "x2": 391.5,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000807"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000907.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 194.0,
      "x2": 391.5,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000807"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000908.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 191.0,
      "x2": 407.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000808"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000908.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 191.0,
      "x2": 407.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000808"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000909.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 259.0,
      "y1": 195.0,
      "x2": 436.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000809"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000909.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 259.0,
      "y1": 195.0,
      "x2": 436.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000809"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000910.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 169.5,
      "x2": 392.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000810"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000910.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 169.5,
      "x2": 392.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000810"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000911.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 227.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000811"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000911.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 227.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000811"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000912.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 530.0,
      "y1": 224.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000812"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000912.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 530.0,
      "y1": 224.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000812"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000913.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 188.0,
      "x2": 295.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000813"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000913.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 188.0,
      "x2": 295.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000813"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000914.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 186.0,
      "x2": 283.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000814"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000914.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 186.0,
      "x2": 283.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000814"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000915.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 181.0,
      "x2": 267.5,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000815"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000915.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 181.0,
      "x2": 267.5,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000815"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000916.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 129.5,
      "y1": 178.5,
      "x2": 249.0,
      "y2": 292.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000816"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000916.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 129.5,
      "y1": 178.5,
      "x2": 249.0,
      "y2": 292.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000816"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000917.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 42.0,
      "y1": 184.0,
      "x2": 238.0,
      "y2": 350.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000817"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000917.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 42.0,
      "y1": 184.0,
      "x2": 238.0,
      "y2": 350.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000817"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000919.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 197.0,
      "x2": 439.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000818"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000919.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 197.0,
      "x2": 439.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000818"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000921.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 192.0,
      "x2": 475.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000819"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000921.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 192.0,
      "x2": 475.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000819"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000922.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 194.5,
      "x2": 497.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000820"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000922.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 194.5,
      "x2": 497.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000820"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000923.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 168.0,
      "x2": 346.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000821"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000923.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 168.0,
      "x2": 346.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000821"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000925.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 153.5,
      "x2": 399.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000822"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000925.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 153.5,
      "x2": 399.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000822"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000926.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 188.0,
      "y1": 147.5,
      "x2": 391.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000823"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000926.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 188.0,
      "y1": 147.5,
      "x2": 391.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000823"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000927.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 195.0,
      "x2": 355.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000824"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000927.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 195.0,
      "x2": 355.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000824"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000928.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 196.5,
      "x2": 352.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000825"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000928.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 196.5,
      "x2": 352.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000825"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000929.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 201.0,
      "x2": 356.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000826"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000929.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 201.0,
      "x2": 356.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000826"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000930.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 216.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000827"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000930.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 216.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000827"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000931.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 201.5,
      "x2": 188.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000828"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000931.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 201.5,
      "x2": 188.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000828"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000932.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 193.5,
      "x2": 489.5,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000829"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000932.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 193.5,
      "x2": 489.5,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000829"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000933.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 195.0,
      "x2": 464.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000830"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000933.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 195.0,
      "x2": 464.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000830"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000934.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 132.5,
      "x2": 534.5,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000831"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000934.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 132.5,
      "x2": 534.5,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000831"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000936.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 146.5,
      "x2": 442.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000832"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000936.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 146.5,
      "x2": 442.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000832"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000937.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 135.5,
      "x2": 399.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000833"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000937.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 135.5,
      "x2": 399.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000833"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000938.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 139.5,
      "x2": 360.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000834"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000938.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 139.5,
      "x2": 360.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000834"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000939.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 240.0,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000835"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000939.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 240.0,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000835"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000940.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 200.5,
      "x2": 471.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000836"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000940.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 200.5,
      "x2": 471.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000836"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000942.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 196.5,
      "x2": 413.5,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000837"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000942.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 196.5,
      "x2": 413.5,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000837"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000943.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 183.0,
      "y1": 200.0,
      "x2": 373.0,
      "y2": 365.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000838"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000943.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 183.0,
      "y1": 200.0,
      "x2": 373.0,
      "y2": 365.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000838"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000944.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 148.5,
      "x2": 346.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000839"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000944.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 148.5,
      "x2": 346.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000839"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000946.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 201.5,
      "x2": 352.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000840"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000946.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 201.5,
      "x2": 352.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000840"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000947.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 201.0,
      "x2": 329.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000841"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000947.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 201.0,
      "x2": 329.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000841"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000948.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 205.5,
      "x2": 286.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000842"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000948.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 205.5,
      "x2": 286.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000842"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000949.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 108.5,
      "y1": 197.5,
      "x2": 216.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000843"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000949.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 108.5,
      "y1": 197.5,
      "x2": 216.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000843"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000950.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 39.0,
      "y1": 201.0,
      "x2": 143.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000844"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000950.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 39.0,
      "y1": 201.0,
      "x2": 143.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000844"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000951.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 105.5,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000845"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000951.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 105.5,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000845"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000952.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 107.0,
      "x2": 639.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000846"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000952.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 107.0,
      "x2": 639.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000846"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000953.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 441.5,
      "y1": 109.5,
      "x2": 639.5,
      "y2": 326.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000847"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000953.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 441.5,
      "y1": 109.5,
      "x2": 639.5,
      "y2": 326.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000847"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000954.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 85.5,
      "x2": 639.5,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000848"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000954.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 85.5,
      "x2": 639.5,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000848"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000955.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 83.5,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000849"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000955.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 83.5,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000849"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000956.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 122.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000850"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000956.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 122.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000850"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000957.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 154.5,
      "x2": 168.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000851"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000957.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 154.5,
      "x2": 168.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000851"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000958.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.5,
      "x2": 101.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000852"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000958.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.5,
      "x2": 101.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000852"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000959.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 87.0,
      "y1": 145.0,
      "x2": 326.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000853"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000959.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 87.0,
      "y1": 145.0,
      "x2": 326.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000853"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000960.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 143.5,
      "x2": 346.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000854"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000960.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 143.5,
      "x2": 346.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000854"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000961.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 132.5,
      "x2": 410.0,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000855"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000961.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 132.5,
      "x2": 410.0,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000855"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000962.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 133.0,
      "x2": 504.0,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000856"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000962.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 133.0,
      "x2": 504.0,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000856"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000963.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 114.5,
      "x2": 623.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000857"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000963.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 114.5,
      "x2": 623.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000857"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000964.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.0,
      "x2": 72.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000858"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000964.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.0,
      "x2": 72.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000858"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000965.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.5,
      "x2": 50.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000859"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000965.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.5,
      "x2": 50.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000859"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000966.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.0,
      "x2": 56.5,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000860"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000966.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.0,
      "x2": 56.5,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000860"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000967.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 199.5,
      "x2": 86.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000861"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000967.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 199.5,
      "x2": 86.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000861"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000968.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 112.5,
      "y1": 202.0,
      "x2": 280.0,
      "y2": 340.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000862"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000968.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 112.5,
      "y1": 202.0,
      "x2": 280.0,
      "y2": 340.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000862"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000970.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 195.0,
      "x2": 207.0,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000863"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000970.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 195.0,
      "x2": 207.0,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000863"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000971.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 200.5,
      "x2": 203.5,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000864"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000971.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 200.5,
      "x2": 203.5,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000864"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000972.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 128.0,
      "y1": 194.5,
      "x2": 219.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000865"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000972.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 128.0,
      "y1": 194.5,
      "x2": 219.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000865"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000973.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 86.0,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000866"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000973.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 361.5,
      "y1": 86.0,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000866"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000974.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 91.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000867"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000974.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 91.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000867"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000975.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 257.5,
      "y1": 198.5,
      "x2": 344.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000868"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000975.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 257.5,
      "y1": 198.5,
      "x2": 344.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000868"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000976.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 194.5,
      "x2": 387.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000869"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000976.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 194.5,
      "x2": 387.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000869"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000977.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.5,
      "x2": 60.5,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000870"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000977.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.5,
      "x2": 60.5,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000870"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000978.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 195.5,
      "x2": 227.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000871"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000978.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 195.5,
      "x2": 227.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000871"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000979.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 171.0,
      "y1": 197.5,
      "x2": 270.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000872"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000979.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 171.0,
      "y1": 197.5,
      "x2": 270.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000872"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000980.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 196.0,
      "x2": 323.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000873"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000980.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 196.0,
      "x2": 323.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000873"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000981.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.0,
      "x2": 19.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000874"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000981.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.0,
      "x2": 19.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000874"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000983.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 198.0,
      "x2": 433.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000875"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000983.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 198.0,
      "x2": 433.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000875"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000984.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 196.0,
      "x2": 489.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000876"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000984.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 196.0,
      "x2": 489.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000876"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000985.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 195.0,
      "x2": 506.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000877"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000985.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 195.0,
      "x2": 506.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000877"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000986.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 200.0,
      "x2": 509.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000878"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000986.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 200.0,
      "x2": 509.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000878"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000987.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 84.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000879"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000987.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 84.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000879"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000988.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 198.0,
      "x2": 158.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000880"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000988.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 198.0,
      "x2": 158.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000880"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000989.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 201.0,
      "x2": 151.0,
      "y2": 298.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000881"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000989.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 201.0,
      "x2": 151.0,
      "y2": 298.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000881"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000990.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 194.0,
      "x2": 255.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000882"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000990.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 194.0,
      "x2": 255.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000882"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000991.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 194.5,
      "x2": 310.5,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000883"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000991.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 194.5,
      "x2": 310.5,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000883"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000995.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 192.0,
      "x2": 218.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000884"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000995.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 192.0,
      "x2": 218.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000884"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000996.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 196.0,
      "x2": 176.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000885"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000996.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 196.0,
      "x2": 176.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000885"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000997.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 113.0,
      "x2": 639.5,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000886"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000997.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 113.0,
      "x2": 639.5,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000886"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000998.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 162.0,
      "x2": 291.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000887"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000998.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 162.0,
      "x2": 291.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000887"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000999.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 332.5,
      "y1": 164.5,
      "x2": 393.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000888"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000999.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 332.5,
      "y1": 164.5,
      "x2": 393.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000888"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001000.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 161.0,
      "x2": 432.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000889"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001000.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 161.0,
      "x2": 432.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000889"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001001.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 181.5,
      "x2": 228.0,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000890"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001001.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 181.5,
      "x2": 228.0,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000890"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001002.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 87.5,
      "y1": 183.5,
      "x2": 183.5,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000891"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001002.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 87.5,
      "y1": 183.5,
      "x2": 183.5,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000891"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001005.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 161.0,
      "x2": 292.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000892"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001005.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 161.0,
      "x2": 292.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000892"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001006.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 126.5,
      "x2": 258.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000893"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001006.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 126.5,
      "x2": 258.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000893"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001008.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 436.0,
      "y1": 199.5,
      "x2": 522.0,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000894"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001008.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.0,
      "y1": 199.5,
      "x2": 522.0,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000894"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001009.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 202.5,
      "x2": 548.0,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000895"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001009.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 202.5,
      "x2": 548.0,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000895"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001010.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 199.5,
      "x2": 591.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000896"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001010.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 199.5,
      "x2": 591.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000896"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001011.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 506.0,
      "y1": 199.5,
      "x2": 628.0,
      "y2": 287.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000897"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001011.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 506.0,
      "y1": 199.5,
      "x2": 628.0,
      "y2": 287.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000897"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001012.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 539.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 287.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000898"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001012.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 539.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 287.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000898"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001013.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 192.0,
      "x2": 370.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000899"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001013.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 192.0,
      "x2": 370.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000899"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001014.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.0,
      "x2": 374.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000900"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001014.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.0,
      "x2": 374.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000900"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001015.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 192.5,
      "x2": 375.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000901"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001015.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 192.5,
      "x2": 375.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000901"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001016.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 190.5,
      "x2": 366.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000902"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001016.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 190.5,
      "x2": 366.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000902"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001017.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 272.0,
      "y1": 190.0,
      "x2": 355.0,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000903"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001017.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.0,
      "y1": 190.0,
      "x2": 355.0,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000903"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001018.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 185.5,
      "x2": 85.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000904"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001018.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 185.5,
      "x2": 85.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000904"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001019.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 197.5,
      "x2": 231.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000905"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001019.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 197.5,
      "x2": 231.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000905"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001020.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 200.5,
      "x2": 192.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000906"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001020.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 200.5,
      "x2": 192.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000906"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001021.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 197.5,
      "x2": 211.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000907"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001021.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 197.5,
      "x2": 211.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000907"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001022.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 68.5,
      "y1": 197.0,
      "x2": 171.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000908"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001022.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 68.5,
      "y1": 197.0,
      "x2": 171.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000908"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001023.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 161.5,
      "x2": 524.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000909"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001023.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 161.5,
      "x2": 524.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000909"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001024.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 475.5,
      "y1": 160.5,
      "x2": 549.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000910"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001024.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.5,
      "y1": 160.5,
      "x2": 549.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000910"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001025.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 192.5,
      "x2": 241.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000911"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001025.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 192.5,
      "x2": 241.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000911"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001026.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 197.5,
      "x2": 310.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000912"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001026.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 197.5,
      "x2": 310.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000912"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001027.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 198.5,
      "x2": 319.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000913"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001027.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 221.0,
      "y1": 198.5,
      "x2": 319.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000913"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001028.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 205.0,
      "x2": 246.0,
      "y2": 341.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000914"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001028.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 205.0,
      "x2": 246.0,
      "y2": 341.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000914"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001029.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 192.5,
      "x2": 371.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000915"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001029.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 192.5,
      "x2": 371.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000915"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001030.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 197.5,
      "x2": 496.0,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000916"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001030.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 197.5,
      "x2": 496.0,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000916"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001031.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 197.5,
      "x2": 547.0,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000917"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001031.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 197.5,
      "x2": 547.0,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000917"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001032.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 197.5,
      "x2": 537.5,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000918"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001032.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 197.5,
      "x2": 537.5,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000918"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001033.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 197.5,
      "x2": 569.5,
      "y2": 313.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000919"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001033.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 197.5,
      "x2": 569.5,
      "y2": 313.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000919"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001034.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 197.5,
      "x2": 341.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000920"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001034.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 197.5,
      "x2": 341.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000920"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001035.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 199.0,
      "x2": 281.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000921"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001035.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 199.0,
      "x2": 281.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000921"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001036.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 31.0,
      "y1": 202.0,
      "x2": 158.5,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000922"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001036.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 31.0,
      "y1": 202.0,
      "x2": 158.5,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000922"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001038.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 204.5,
      "x2": 290.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000923"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001038.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 204.5,
      "x2": 290.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000923"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001039.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 212.5,
      "x2": 276.0,
      "y2": 309.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000924"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001039.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 212.5,
      "x2": 276.0,
      "y2": 309.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000924"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001040.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 192.5,
      "x2": 353.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000925"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001040.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 192.5,
      "x2": 353.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000925"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001041.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 223.0,
      "y1": 194.0,
      "x2": 304.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000926"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001041.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 223.0,
      "y1": 194.0,
      "x2": 304.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000926"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001042.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 271.0,
      "y1": 188.0,
      "x2": 322.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000927"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001042.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 271.0,
      "y1": 188.0,
      "x2": 322.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000927"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001043.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 202.0,
      "x2": 568.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000928"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001043.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 202.0,
      "x2": 568.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000928"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001044.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 207.0,
      "x2": 602.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000929"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001044.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 207.0,
      "x2": 602.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000929"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001045.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 193.0,
      "x2": 305.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000930"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001045.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 193.0,
      "x2": 305.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000930"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001046.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 166.0,
      "x2": 442.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000931"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001046.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 166.0,
      "x2": 442.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000931"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001047.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 204.0,
      "x2": 639.5,
      "y2": 399.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000932"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001047.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 204.0,
      "x2": 639.5,
      "y2": 399.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000932"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001048.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 201.0,
      "x2": 294.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000933"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001048.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 201.0,
      "x2": 294.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000933"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001049.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 208.5,
      "x2": 268.0,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000934"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001049.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 208.5,
      "x2": 268.0,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000934"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001050.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 293.5,
      "y1": 199.5,
      "x2": 347.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000935"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001050.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 293.5,
      "y1": 199.5,
      "x2": 347.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000935"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001053.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 26.5,
      "y1": 190.0,
      "x2": 128.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000936"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001053.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 26.5,
      "y1": 190.0,
      "x2": 128.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000936"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001054.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 161.0,
      "x2": 444.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000937"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001054.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 161.0,
      "x2": 444.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000937"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001055.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 161.0,
      "x2": 448.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000938"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001055.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 161.0,
      "x2": 448.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000938"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001056.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 153.5,
      "x2": 423.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000939"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001056.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 153.5,
      "x2": 423.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000939"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001057.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 138.5,
      "x2": 378.0,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000940"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001057.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 138.5,
      "x2": 378.0,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000940"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001058.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 104.5,
      "y1": 121.5,
      "x2": 336.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000941"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001058.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 104.5,
      "y1": 121.5,
      "x2": 336.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000941"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001059.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 195.5,
      "x2": 253.5,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000942"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001059.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 195.5,
      "x2": 253.5,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000942"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001060.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 196.5,
      "x2": 275.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000943"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001060.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 196.5,
      "x2": 275.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000943"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001061.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 200.5,
      "x2": 538.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000944"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001061.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 200.5,
      "x2": 538.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000944"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001062.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 203.5,
      "x2": 602.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000945"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001062.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 203.5,
      "x2": 602.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000945"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001063.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 380.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000946"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001063.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 380.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000946"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001064.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 196.0,
      "x2": 120.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000947"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001064.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 196.0,
      "x2": 120.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000947"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001065.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 202.0,
      "x2": 144.5,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000948"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001065.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 202.0,
      "x2": 144.5,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000948"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001066.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 201.0,
      "x2": 175.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000949"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001066.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 201.0,
      "x2": 175.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000949"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001067.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 146.0,
      "y1": 192.5,
      "x2": 224.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000950"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001067.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 146.0,
      "y1": 192.5,
      "x2": 224.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000950"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001068.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 205.0,
      "x2": 340.5,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000951"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001068.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 205.0,
      "x2": 340.5,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000951"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001069.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.0,
      "y1": 127.5,
      "x2": 353.0,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000952"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001069.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 130.0,
      "y1": 127.5,
      "x2": 353.0,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000952"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001070.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 139.5,
      "x2": 413.5,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000953"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001070.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 139.5,
      "x2": 413.5,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000953"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001071.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 134.0,
      "x2": 480.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000954"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001071.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 134.0,
      "x2": 480.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000954"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001072.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 116.0,
      "x2": 584.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000955"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001072.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 116.0,
      "x2": 584.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000955"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001073.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 140.0,
      "x2": 639.5,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000956"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001073.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 140.0,
      "x2": 639.5,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000956"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001074.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 169.5,
      "x2": 104.5,
      "y2": 194.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000957"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001074.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 169.5,
      "x2": 104.5,
      "y2": 194.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000957"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001075.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 51.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000958"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001075.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 51.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000958"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001076.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 185.5,
      "x2": 505.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000959"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001076.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 185.5,
      "x2": 505.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000959"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001077.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 160.5,
      "x2": 263.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000960"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001077.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 160.5,
      "x2": 263.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000960"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001078.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 353.0,
      "y1": 154.5,
      "x2": 414.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000961"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001078.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 353.0,
      "y1": 154.5,
      "x2": 414.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000961"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001079.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 29.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000962"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001079.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 29.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000962"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001080.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.0,
      "x2": 50.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000963"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001080.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.0,
      "x2": 50.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000963"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001082.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 31.5,
      "y1": 184.0,
      "x2": 82.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000964"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001082.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 31.5,
      "y1": 184.0,
      "x2": 82.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000964"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001084.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 200.0,
      "x2": 480.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000965"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001084.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 200.0,
      "x2": 480.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000965"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001085.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 203.0,
      "x2": 469.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000966"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001085.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 203.0,
      "x2": 469.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000966"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001086.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 205.5,
      "x2": 547.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000967"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001086.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 205.5,
      "x2": 547.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000967"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001087.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 497.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000968"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001087.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 497.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000968"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001088.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 198.5,
      "x2": 562.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000969"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001088.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 198.5,
      "x2": 562.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000969"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001089.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 501.0,
      "y1": 199.5,
      "x2": 577.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000970"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001089.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 501.0,
      "y1": 199.5,
      "x2": 577.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000970"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001090.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 192.0,
      "x2": 257.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000971"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001090.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 192.0,
      "x2": 257.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000971"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001091.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 193.5,
      "x2": 236.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000972"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001091.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 193.5,
      "x2": 236.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000972"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001092.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 34.0,
      "y1": 196.0,
      "x2": 145.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000973"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001092.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 34.0,
      "y1": 196.0,
      "x2": 145.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000973"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001093.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 193.5,
      "x2": 317.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000974"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001093.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 193.5,
      "x2": 317.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000974"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001094.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 194.5,
      "x2": 298.5,
      "y2": 281.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000975"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001094.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 194.5,
      "x2": 298.5,
      "y2": 281.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000975"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001095.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 199.5,
      "x2": 233.5,
      "y2": 376.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000976"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001095.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 199.5,
      "x2": 233.5,
      "y2": 376.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000976"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001096.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.0,
      "x2": 160.0,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000977"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001096.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.0,
      "x2": 160.0,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000977"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001097.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 105.5,
      "y1": 197.5,
      "x2": 218.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000978"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001097.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 105.5,
      "y1": 197.5,
      "x2": 218.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000978"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001098.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 207.5,
      "x2": 495.0,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000979"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001098.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 207.5,
      "x2": 495.0,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000979"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001099.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 209.5,
      "x2": 585.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000980"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001099.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 209.5,
      "x2": 585.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000980"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001100.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000981"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001100.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000981"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001101.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 194.0,
      "x2": 347.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000982"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001101.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 289.0,
      "y1": 194.0,
      "x2": 347.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000982"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001102.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 187.5,
      "x2": 393.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000983"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001102.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 187.5,
      "x2": 393.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000983"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001103.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 188.5,
      "x2": 475.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000984"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001103.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 188.5,
      "x2": 475.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000984"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001104.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 191.5,
      "x2": 526.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000985"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001104.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 191.5,
      "x2": 526.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000985"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001106.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 195.0,
      "x2": 471.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000986"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001106.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 195.0,
      "x2": 471.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000986"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001107.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 197.0,
      "x2": 554.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000987"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001107.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 197.0,
      "x2": 554.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000987"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001109.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 195.0,
      "x2": 226.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000988"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001109.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 195.0,
      "x2": 226.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000988"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001110.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 186.5,
      "x2": 620.5,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000989"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001110.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 186.5,
      "x2": 620.5,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000989"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001111.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 190.0,
      "x2": 626.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000990"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001111.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 190.0,
      "x2": 626.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000990"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001112.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 194.0,
      "x2": 176.0,
      "y2": 310.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000991"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001112.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.0,
      "y1": 194.0,
      "x2": 176.0,
      "y2": 310.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000991"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001114.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 127.0,
      "y2": 361.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000992"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001114.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 127.0,
      "y2": 361.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000992"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001116.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 184.5,
      "x2": 497.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000993"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001116.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 184.5,
      "x2": 497.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000993"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001117.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 188.5,
      "x2": 592.0,
      "y2": 313.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000994"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001117.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 188.5,
      "x2": 592.0,
      "y2": 313.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000994"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001118.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 186.5,
      "x2": 639.5,
      "y2": 354.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000995"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001118.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 186.5,
      "x2": 639.5,
      "y2": 354.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000995"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001119.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000996"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001119.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000996"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001120.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 294.0,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000997"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001120.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 294.0,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000997"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001121.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 199.0,
      "x2": 411.0,
      "y2": 325.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000998"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001121.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 199.0,
      "x2": 411.0,
      "y2": 325.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000998"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001122.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 201.5,
      "x2": 414.5,
      "y2": 337.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:000999"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001122.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 201.5,
      "x2": 414.5,
      "y2": 337.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:000999"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000005.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 198.0,
      "x2": 184.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001000"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000005.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 198.0,
      "x2": 184.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001000"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000022.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 195.0,
      "x2": 184.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001001"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000022.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 195.0,
      "x2": 184.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001001"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000026.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 195.5,
      "x2": 183.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001002"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000026.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 195.5,
      "x2": 183.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001002"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000033.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 555.0,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001003"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000033.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.0,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001003"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000037.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.0,
      "x2": 598.5,
      "y2": 314.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001004"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000037.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 198.0,
      "x2": 598.5,
      "y2": 314.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001004"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000040.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 202.0,
      "x2": 599.0,
      "y2": 316.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001005"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000040.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 202.0,
      "x2": 599.0,
      "y2": 316.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001005"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000056.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001006"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000056.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 195.0,
      "x2": 182.0,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001006"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000069.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 378.5,
      "y1": 196.5,
      "x2": 430.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001007"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000069.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 378.5,
      "y1": 196.5,
      "x2": 430.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001007"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000070.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 197.5,
      "x2": 428.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001008"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000070.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 197.5,
      "x2": 428.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001008"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000079.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 58.0,
      "y1": 187.0,
      "x2": 125.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001009"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000079.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 58.0,
      "y1": 187.0,
      "x2": 125.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001009"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000082.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 191.5,
      "x2": 426.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001010"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000082.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 191.5,
      "x2": 426.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001010"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000108.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 61.5,
      "y1": 170.0,
      "x2": 198.0,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001011"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000108.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 61.5,
      "y1": 170.0,
      "x2": 198.0,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001011"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000114.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 197.0,
      "x2": 577.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001012"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000114.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 197.0,
      "x2": 577.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001012"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000115.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 176.0,
      "x2": 213.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001013"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000115.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 176.0,
      "x2": 213.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001013"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000120.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 196.0,
      "x2": 274.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001014"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000120.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 196.0,
      "x2": 274.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001014"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000131.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 188.0,
      "x2": 287.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001015"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000131.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 224.5,
      "y1": 188.0,
      "x2": 287.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001015"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000139.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 41.0,
      "y1": 184.0,
      "x2": 134.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001016"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000139.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 41.0,
      "y1": 184.0,
      "x2": 134.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001016"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000143.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 170.0,
      "x2": 121.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001017"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000143.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 170.0,
      "x2": 121.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001017"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000166.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 158.0,
      "x2": 449.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001018"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000166.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 370.0,
      "y1": 158.0,
      "x2": 449.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001018"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000170.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 195.5,
      "x2": 576.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001019"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000170.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 195.5,
      "x2": 576.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001019"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000173.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 203.0,
      "x2": 635.0,
      "y2": 352.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001020"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000173.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 203.0,
      "x2": 635.0,
      "y2": 352.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001020"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000179.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 108.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001021"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000179.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 108.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001021"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000207.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 185.5,
      "x2": 238.5,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001022"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000207.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 185.5,
      "x2": 238.5,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001022"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000212.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 193.5,
      "x2": 454.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001023"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000212.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 193.5,
      "x2": 454.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001023"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000228.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 166.0,
      "x2": 440.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001024"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000228.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 166.0,
      "x2": 440.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001024"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000237.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 194.5,
      "x2": 420.0,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001025"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000237.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 194.5,
      "x2": 420.0,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001025"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000240.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 192.5,
      "x2": 380.0,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001026"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000240.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 192.5,
      "x2": 380.0,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001026"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000244.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 195.5,
      "x2": 359.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001027"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000244.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 195.5,
      "x2": 359.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001027"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000259.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 24.0,
      "y1": 187.5,
      "x2": 91.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001028"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000259.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 24.0,
      "y1": 187.5,
      "x2": 91.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001028"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000262.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.0,
      "x2": 389.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001029"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000262.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 219.0,
      "y1": 195.0,
      "x2": 389.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001029"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000270.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001030"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000270.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001030"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000273.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 196.5,
      "x2": 394.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001031"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000273.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 196.5,
      "x2": 394.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001031"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000289.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 201.0,
      "x2": 543.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001032"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000289.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 201.0,
      "x2": 543.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001032"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000300.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 110.5,
      "x2": 262.0,
      "y2": 335.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001033"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000300.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 110.5,
      "x2": 262.0,
      "y2": 335.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001033"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000303.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 206.0,
      "x2": 236.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001034"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000303.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 206.0,
      "x2": 236.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001034"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000312.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 454.0,
      "y1": 194.0,
      "x2": 510.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001035"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000312.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 454.0,
      "y1": 194.0,
      "x2": 510.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001035"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000343.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 343.5,
      "y1": 164.0,
      "x2": 501.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001036"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000343.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.5,
      "y1": 164.0,
      "x2": 501.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001036"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000348.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 188.0,
      "x2": 545.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001037"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000348.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 188.0,
      "x2": 545.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001037"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000385.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 202.0,
      "x2": 308.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001038"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000385.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 202.0,
      "x2": 308.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001038"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000386.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 205.5,
      "x2": 304.5,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001039"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000386.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 205.5,
      "x2": 304.5,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001039"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000388.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 196.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001040"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000388.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 196.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001040"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000392.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 194.0,
      "x2": 583.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001041"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000392.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 194.0,
      "x2": 583.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001041"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000400.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 183.5,
      "x2": 375.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001042"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000400.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 183.5,
      "x2": 375.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001042"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000403.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 184.5,
      "x2": 246.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001043"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000403.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 184.5,
      "x2": 246.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001043"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000410.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 212.0,
      "x2": 366.5,
      "y2": 311.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001044"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000410.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 212.0,
      "x2": 366.5,
      "y2": 311.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001044"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000418.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 191.0,
      "x2": 294.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001045"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000418.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 191.0,
      "x2": 294.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001045"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000419.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 183.5,
      "x2": 489.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001046"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000419.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 183.5,
      "x2": 489.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001046"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000424.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 184.5,
      "x2": 341.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001047"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000424.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 184.5,
      "x2": 341.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001047"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000431.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 124.0,
      "y1": 208.0,
      "x2": 281.5,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001048"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000431.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 124.0,
      "y1": 208.0,
      "x2": 281.5,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001048"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000456.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.5,
      "x2": 186.5,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001049"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000456.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.5,
      "x2": 186.5,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001049"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000462.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 205.5,
      "x2": 495.5,
      "y2": 281.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001050"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000462.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 205.5,
      "x2": 495.5,
      "y2": 281.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001050"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000463.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 127.0,
      "y1": 194.0,
      "x2": 184.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001051"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000463.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 127.0,
      "y1": 194.0,
      "x2": 184.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001051"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000471.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 68.5,
      "y1": 198.5,
      "x2": 207.0,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001052"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000471.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 68.5,
      "y1": 198.5,
      "x2": 207.0,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001052"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000476.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 198.5,
      "x2": 491.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001053"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000476.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 198.5,
      "x2": 491.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001053"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000486.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 82.0,
      "x2": 639.5,
      "y2": 289.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001054"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000486.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 82.0,
      "x2": 639.5,
      "y2": 289.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001054"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000519.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 196.0,
      "x2": 180.0,
      "y2": 323.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001055"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000519.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 2.0,
      "y1": 196.0,
      "x2": 180.0,
      "y2": 323.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001055"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000526.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 244.0,
      "y1": 198.0,
      "x2": 390.0,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001056"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000526.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.0,
      "y1": 198.0,
      "x2": 390.0,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001056"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000528.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 243.5,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 327.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001057"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000528.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.5,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 327.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001057"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000539.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 199.0,
      "x2": 431.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001058"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000539.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 199.0,
      "x2": 431.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001058"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000543.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001059"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000543.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001059"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000559.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 200.0,
      "x2": 372.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001060"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000559.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 200.0,
      "x2": 372.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001060"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000560.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 195.5,
      "x2": 366.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001061"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000560.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.0,
      "y1": 195.5,
      "x2": 366.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001061"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000572.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 185.0,
      "x2": 180.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001062"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000572.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 185.0,
      "x2": 180.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001062"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000573.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 188.5,
      "x2": 222.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001063"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000573.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 188.5,
      "x2": 222.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001063"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000583.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 194.0,
      "x2": 240.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001064"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000583.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 194.0,
      "x2": 240.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001064"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000600.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.5,
      "x2": 495.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001065"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000600.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.5,
      "y1": 190.5,
      "x2": 495.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001065"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000617.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 194.5,
      "x2": 261.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001066"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000617.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 194.5,
      "x2": 261.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001066"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000629.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001067"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000629.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 495.0,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001067"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000632.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001068"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000632.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 190.5,
      "x2": 494.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001068"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000639.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001069"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000639.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001069"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000645.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 192.5,
      "x2": 612.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001070"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000645.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 192.5,
      "x2": 612.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001070"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000657.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001071"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000657.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001071"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000675.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001072"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000675.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001072"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000690.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 189.5,
      "x2": 494.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001073"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000690.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 189.5,
      "x2": 494.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001073"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000703.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001074"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000703.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 197.5,
      "x2": 381.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001074"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000706.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001075"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000706.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 198.0,
      "x2": 261.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001075"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000713.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 496.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001076"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000713.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 190.0,
      "x2": 496.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001076"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000722.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001077"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000722.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 197.0,
      "x2": 368.5,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001077"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000723.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 195.5,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001078"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000723.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 195.5,
      "x2": 368.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001078"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000727.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001079"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000727.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001079"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000734.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 190.0,
      "x2": 371.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001080"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000734.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 190.0,
      "x2": 371.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001080"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000735.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 387.5,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001081"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000735.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.5,
      "y1": 205.0,
      "x2": 581.0,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001081"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000738.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 204.5,
      "x2": 579.0,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001082"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000738.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 204.5,
      "x2": 579.0,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001082"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000743.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 196.5,
      "x2": 251.0,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001083"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000743.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 196.5,
      "x2": 251.0,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001083"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000750.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 196.5,
      "x2": 380.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001084"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000750.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 196.5,
      "x2": 380.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001084"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000754.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 198.5,
      "x2": 630.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001085"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000754.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 198.5,
      "x2": 630.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001085"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000760.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 513.0,
      "y1": 160.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001086"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000760.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.0,
      "y1": 160.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001086"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000763.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 148.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001087"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000763.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 148.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001087"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000784.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 177.5,
      "x2": 231.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001088"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000784.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 177.5,
      "x2": 231.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001088"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000793.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 175.0,
      "x2": 205.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001089"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000793.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 175.0,
      "x2": 205.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001089"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000797.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 75.0,
      "y1": 207.0,
      "x2": 225.0,
      "y2": 313.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001090"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000797.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 75.0,
      "y1": 207.0,
      "x2": 225.0,
      "y2": 313.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001090"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000824.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 143.5,
      "x2": 484.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001091"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000824.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 143.5,
      "x2": 484.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001091"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000826.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001092"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000826.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001092"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000827.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001093"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000827.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 173.5,
      "x2": 639.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001093"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000829.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 174.0,
      "x2": 566.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001094"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000829.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 174.0,
      "x2": 566.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001094"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000839.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 229.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001095"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000839.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 229.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001095"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000841.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 172.0,
      "x2": 547.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001096"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000841.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 172.0,
      "x2": 547.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001096"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000876.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 197.5,
      "x2": 512.5,
      "y2": 393.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001097"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000876.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 197.5,
      "x2": 512.5,
      "y2": 393.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001097"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000879.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 127.0,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001098"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000879.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 127.0,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001098"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000882.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 159.5,
      "x2": 595.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001099"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000882.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 159.5,
      "x2": 595.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001099"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000918.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 199.0,
      "x2": 444.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001100"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000918.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 199.0,
      "x2": 444.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001100"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000920.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 194.0,
      "x2": 447.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001101"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000920.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 194.0,
      "x2": 447.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001101"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000924.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 250.0,
      "y1": 159.5,
      "x2": 395.5,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001102"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000924.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 250.0,
      "y1": 159.5,
      "x2": 395.5,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001102"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000935.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 136.5,
      "x2": 488.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001103"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000935.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 136.5,
      "x2": 488.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001103"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000941.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 251.0,
      "y1": 202.5,
      "x2": 439.0,
      "y2": 381.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001104"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000941.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 251.0,
      "y1": 202.5,
      "x2": 439.0,
      "y2": 381.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001104"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000945.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 102.5,
      "y1": 150.5,
      "x2": 286.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001105"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000945.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 102.5,
      "y1": 150.5,
      "x2": 286.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001105"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000969.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 201.0,
      "x2": 230.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001106"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000969.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 201.0,
      "x2": 230.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001106"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000982.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 282.5,
      "y1": 196.5,
      "x2": 370.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001107"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000982.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 282.5,
      "y1": 196.5,
      "x2": 370.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001107"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000992.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 190.0,
      "x2": 359.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001108"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000992.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 190.0,
      "x2": 359.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001108"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000993.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 190.5,
      "x2": 373.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001109"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000993.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 190.5,
      "x2": 373.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001109"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000994.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 195.0,
      "x2": 367.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001110"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/000994.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/000994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 195.0,
      "x2": 367.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001110"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001003.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 178.5,
      "x2": 138.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001111"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001003.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 178.5,
      "x2": 138.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001111"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001004.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 176.5,
      "x2": 297.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001112"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001004.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 176.5,
      "x2": 297.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001112"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001007.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 10.5,
      "x2": 226.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001113"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001007.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 10.5,
      "x2": 226.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001113"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001037.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 197.5,
      "x2": 216.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001114"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001037.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 197.5,
      "x2": 216.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001114"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001051.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 201.0,
      "x2": 299.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001115"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001051.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 201.0,
      "x2": 299.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001115"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001052.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 107.0,
      "y1": 197.0,
      "x2": 209.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001116"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001052.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 107.0,
      "y1": 197.0,
      "x2": 209.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001116"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001081.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 19.5,
      "y1": 194.5,
      "x2": 124.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001117"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001081.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 19.5,
      "y1": 194.5,
      "x2": 124.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001117"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001083.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 404.0,
      "y1": 197.0,
      "x2": 460.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001118"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001083.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.0,
      "y1": 197.0,
      "x2": 460.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001118"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001105.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 191.0,
      "x2": 586.0,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001119"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001105.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 191.0,
      "x2": 586.0,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001119"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001108.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 192.5,
      "x2": 204.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001120"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001108.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 192.5,
      "x2": 204.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001120"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001113.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 198.0,
      "x2": 137.5,
      "y2": 349.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001121"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001113.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 198.0,
      "x2": 137.5,
      "y2": 349.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001121"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001115.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 185.0,
      "x2": 563.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001122"
  },
  {
    "image": "data/prediction/urban_day_car_urban_day_city_hall/image/001115.jpg",
    "event": "data/prediction/urban_day_car_urban_day_city_hall/event/001115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 185.0,
      "x2": 563.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001122"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 193.0,
      "x2": 612.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 193.0,
      "x2": 612.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 185.0,
      "x2": 534.0,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 185.0,
      "x2": 534.0,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 181.0,
      "x2": 307.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 181.0,
      "x2": 307.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000015.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000015.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000017.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 187.0,
      "x2": 322.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000017.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 187.0,
      "x2": 322.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000018.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 516.0,
      "y1": 194.5,
      "x2": 627.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000018.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 516.0,
      "y1": 194.5,
      "x2": 627.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000021.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 401.5,
      "y1": 188.0,
      "x2": 520.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000021.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 401.5,
      "y1": 188.0,
      "x2": 520.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000023.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 190.5,
      "x2": 496.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000023.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 190.5,
      "x2": 496.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000024.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001137"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000024.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001137"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000029.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001138"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000029.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001138"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000030.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001139"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000030.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001139"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000031.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 488.0,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001140"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000031.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 488.0,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001140"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000041.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001141"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000041.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001141"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000045.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 383.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001142"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000045.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 383.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001142"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000047.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 360.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001143"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000047.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 360.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001143"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000048.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 354.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001144"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000048.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 354.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001144"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000049.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001145"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000049.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001145"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000052.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001146"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000052.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 351.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001146"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000053.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 350.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001147"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000053.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 350.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001147"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000054.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 209.0,
      "x2": 628.5,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001148"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000054.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 209.0,
      "x2": 628.5,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001148"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000055.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 203.5,
      "x2": 574.0,
      "y2": 303.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001149"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000055.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 203.5,
      "x2": 574.0,
      "y2": 303.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001149"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000058.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 365.0,
      "y1": 201.0,
      "x2": 440.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001150"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000058.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 365.0,
      "y1": 201.0,
      "x2": 440.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001150"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000059.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 195.5,
      "x2": 499.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001151"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000059.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 195.5,
      "x2": 499.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001151"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000060.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 165.5,
      "x2": 507.5,
      "y2": 199.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001152"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000060.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 165.5,
      "x2": 507.5,
      "y2": 199.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001152"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000061.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 170.0,
      "x2": 508.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001153"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000061.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 170.0,
      "x2": 508.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001153"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000064.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001154"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000064.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001154"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000066.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001155"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000066.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001155"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000068.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001156"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000068.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001156"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000071.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001157"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000071.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001157"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000073.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 189.5,
      "x2": 430.5,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001158"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000073.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 189.5,
      "x2": 430.5,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001158"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000074.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 189.5,
      "x2": 433.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001159"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000074.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 189.5,
      "x2": 433.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001159"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000077.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001160"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000077.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001160"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000078.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 189.5,
      "x2": 430.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001161"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000078.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 189.5,
      "x2": 430.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001161"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000080.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 190.0,
      "x2": 434.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001162"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000080.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 190.0,
      "x2": 434.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001162"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000081.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 190.0,
      "x2": 432.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001163"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000081.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 190.0,
      "x2": 432.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001163"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000084.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 190.5,
      "x2": 430.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001164"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000084.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 190.5,
      "x2": 430.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001164"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000085.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 189.0,
      "x2": 429.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001165"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000085.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 189.0,
      "x2": 429.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001165"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000087.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 509.0,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001166"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000087.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 509.0,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001166"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000089.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 510.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001167"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000089.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 510.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001167"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000092.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001168"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000092.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001168"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000093.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 508.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001169"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000093.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 167.0,
      "x2": 508.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001169"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000095.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 194.5,
      "x2": 618.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001170"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000095.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 194.5,
      "x2": 618.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001170"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000096.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 477.5,
      "y1": 190.5,
      "x2": 537.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001171"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000096.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 477.5,
      "y1": 190.5,
      "x2": 537.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001171"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000098.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 181.5,
      "x2": 487.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001172"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000098.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 181.5,
      "x2": 487.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001172"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000099.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 160.0,
      "x2": 470.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001173"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000099.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 160.0,
      "x2": 470.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001173"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000100.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 146.0,
      "x2": 447.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001174"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000100.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 146.0,
      "x2": 447.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001174"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000104.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 188.5,
      "x2": 242.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001175"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000104.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 188.5,
      "x2": 242.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001175"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000105.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 33.0,
      "y1": 182.0,
      "x2": 84.0,
      "y2": 200.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001176"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000105.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 33.0,
      "y1": 182.0,
      "x2": 84.0,
      "y2": 200.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001176"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000109.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 241.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001177"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000109.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 241.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001177"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000111.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 206.5,
      "x2": 344.5,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001178"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000111.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 206.5,
      "x2": 344.5,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001178"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000116.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 199.0,
      "x2": 440.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001179"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000116.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 199.0,
      "x2": 440.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001179"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000117.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 198.0,
      "x2": 410.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001180"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000117.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 198.0,
      "x2": 410.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001180"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000119.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 193.0,
      "x2": 286.5,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001181"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000119.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 193.0,
      "x2": 286.5,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001181"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000123.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 210.5,
      "x2": 383.5,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001182"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000123.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 249.0,
      "y1": 210.5,
      "x2": 383.5,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001182"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000124.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 66.0,
      "y1": 220.0,
      "x2": 307.5,
      "y2": 368.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001183"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000124.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 66.0,
      "y1": 220.0,
      "x2": 307.5,
      "y2": 368.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001183"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000125.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 198.5,
      "x2": 502.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001184"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000125.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 198.5,
      "x2": 502.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001184"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000126.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 401.0,
      "y1": 199.0,
      "x2": 475.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001185"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000126.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 401.0,
      "y1": 199.0,
      "x2": 475.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001185"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000127.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 202.5,
      "x2": 430.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001186"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000127.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 202.5,
      "x2": 430.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001186"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000129.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 573.5,
      "y1": 197.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001187"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000129.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 573.5,
      "y1": 197.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001187"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000130.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 183.5,
      "x2": 639.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001188"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000130.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 183.5,
      "x2": 639.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001188"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000135.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 201.5,
      "x2": 436.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001189"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000135.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 201.5,
      "x2": 436.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001189"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000136.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 204.5,
      "x2": 391.5,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001190"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000136.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 204.5,
      "x2": 391.5,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001190"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000137.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 206.5,
      "x2": 336.0,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001191"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000137.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 206.5,
      "x2": 336.0,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001191"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000138.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 211.5,
      "x2": 249.5,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001192"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000138.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 211.5,
      "x2": 249.5,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001192"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000141.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 207.5,
      "x2": 409.5,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001193"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000141.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 207.5,
      "x2": 409.5,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001193"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000145.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 190.5,
      "x2": 521.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001194"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000145.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 190.5,
      "x2": 521.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001194"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000147.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 196.5,
      "x2": 217.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001195"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000147.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 196.5,
      "x2": 217.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001195"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000148.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 198.5,
      "x2": 482.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001196"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000148.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 198.5,
      "x2": 482.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001196"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000149.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 550.0,
      "y1": 193.5,
      "x2": 635.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001197"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000149.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 550.0,
      "y1": 193.5,
      "x2": 635.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001197"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000152.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 179.5,
      "x2": 266.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001198"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000152.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 179.5,
      "x2": 266.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001198"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000153.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 201.0,
      "x2": 208.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001199"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000153.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 201.0,
      "x2": 208.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001199"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000154.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 199.5,
      "x2": 178.5,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001200"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000154.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 199.5,
      "x2": 178.5,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001200"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000155.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 182.5,
      "x2": 457.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001201"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000155.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 182.5,
      "x2": 457.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001201"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000156.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 186.5,
      "x2": 503.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001202"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000156.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 186.5,
      "x2": 503.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001202"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000158.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 189.5,
      "x2": 275.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001203"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000158.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 189.5,
      "x2": 275.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001203"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000160.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 198.0,
      "x2": 456.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001204"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000160.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 198.0,
      "x2": 456.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001204"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000161.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 193.0,
      "x2": 443.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001205"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000161.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 193.0,
      "x2": 443.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001205"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000162.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 345.5,
      "y1": 196.0,
      "x2": 422.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001206"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000162.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 345.5,
      "y1": 196.0,
      "x2": 422.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001206"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000163.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 349.0,
      "y1": 196.5,
      "x2": 415.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001207"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000163.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 349.0,
      "y1": 196.5,
      "x2": 415.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001207"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000164.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 190.5,
      "x2": 430.0,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001208"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000164.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 190.5,
      "x2": 430.0,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001208"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000167.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 365.0,
      "y1": 195.0,
      "x2": 419.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001209"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000167.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 365.0,
      "y1": 195.0,
      "x2": 419.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001209"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000168.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 369.5,
      "y1": 190.0,
      "x2": 419.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001210"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000168.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 369.5,
      "y1": 190.0,
      "x2": 419.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001210"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000169.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.0,
      "x2": 417.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001211"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000169.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 190.0,
      "x2": 417.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001211"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000171.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 197.5,
      "x2": 498.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001212"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000171.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 197.5,
      "x2": 498.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001212"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000177.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 186.0,
      "x2": 256.5,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001213"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000177.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 186.0,
      "x2": 256.5,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001213"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000178.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 180.0,
      "x2": 226.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001214"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000178.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 180.0,
      "x2": 226.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001214"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000180.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 201.0,
      "x2": 583.0,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001215"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000180.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 201.0,
      "x2": 583.0,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001215"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000181.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 193.0,
      "x2": 236.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001216"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000181.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 177.0,
      "y1": 193.0,
      "x2": 236.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001216"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000182.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 207.5,
      "x2": 167.5,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001217"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000182.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 207.5,
      "x2": 167.5,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001217"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000184.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 204.0,
      "x2": 608.0,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001218"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000184.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 204.0,
      "x2": 608.0,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001218"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000186.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 108.0,
      "y1": 196.5,
      "x2": 214.5,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001219"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000186.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 108.0,
      "y1": 196.5,
      "x2": 214.5,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001219"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000188.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 168.5,
      "y1": 202.0,
      "x2": 252.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001220"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000188.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 168.5,
      "y1": 202.0,
      "x2": 252.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001220"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000190.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 196.0,
      "x2": 484.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001221"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000190.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 196.0,
      "x2": 484.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001221"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000191.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 196.5,
      "x2": 571.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001222"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000191.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 196.5,
      "x2": 571.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001222"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000192.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 191.0,
      "x2": 282.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001223"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000192.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 191.0,
      "x2": 282.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001223"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000193.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 190.5,
      "x2": 249.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001224"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000193.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 190.5,
      "x2": 249.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001224"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000194.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 38.5,
      "y1": 199.5,
      "x2": 194.5,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001225"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000194.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 38.5,
      "y1": 199.5,
      "x2": 194.5,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001225"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000195.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 191.5,
      "x2": 461.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001226"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000195.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 191.5,
      "x2": 461.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001226"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000196.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 196.0,
      "x2": 517.0,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001227"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000196.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 196.0,
      "x2": 517.0,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001227"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000197.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 198.5,
      "x2": 550.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001228"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000197.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 198.5,
      "x2": 550.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001228"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000198.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 196.5,
      "x2": 263.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001229"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000198.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 196.5,
      "x2": 263.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001229"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000199.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 197.0,
      "x2": 219.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001230"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000199.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 197.0,
      "x2": 219.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001230"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000200.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 197.5,
      "x2": 481.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001231"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000200.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 197.5,
      "x2": 481.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001231"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000202.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.0,
      "x2": 468.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001232"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000202.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.0,
      "x2": 468.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001232"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000204.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 197.0,
      "x2": 484.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001233"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000204.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 197.0,
      "x2": 484.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001233"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000208.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 168.0,
      "x2": 295.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001234"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000208.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 168.0,
      "x2": 295.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001234"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000209.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 148.5,
      "x2": 275.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001235"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000209.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 148.5,
      "x2": 275.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001235"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000210.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 121.0,
      "x2": 245.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001236"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000210.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 106.5,
      "y1": 121.0,
      "x2": 245.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001236"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000213.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 178.5,
      "x2": 519.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001237"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000213.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 178.5,
      "x2": 519.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001237"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000216.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 189.0,
      "x2": 428.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001238"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000216.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 189.0,
      "x2": 428.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001238"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000217.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 186.5,
      "x2": 452.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001239"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000217.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 186.5,
      "x2": 452.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001239"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000219.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 202.0,
      "x2": 478.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001240"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000219.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 202.0,
      "x2": 478.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001240"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000223.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 214.0,
      "y1": 184.0,
      "x2": 321.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001241"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000223.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 214.0,
      "y1": 184.0,
      "x2": 321.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001241"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000224.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 195.5,
      "x2": 293.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001242"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000224.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 195.5,
      "x2": 293.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001242"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000232.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 210.0,
      "x2": 532.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001243"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000232.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 210.0,
      "x2": 532.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001243"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000235.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 202.0,
      "x2": 201.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001244"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000235.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 202.0,
      "x2": 201.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001244"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000236.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 25.0,
      "y1": 208.0,
      "x2": 163.5,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001245"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000236.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 25.0,
      "y1": 208.0,
      "x2": 163.5,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001245"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000238.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 201.0,
      "x2": 538.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001246"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000238.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 201.0,
      "x2": 538.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001246"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000243.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 397.0,
      "y1": 192.0,
      "x2": 475.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001247"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000243.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.0,
      "y1": 192.0,
      "x2": 475.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001247"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000245.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 214.5,
      "x2": 613.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001248"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000245.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 214.5,
      "x2": 613.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001248"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000246.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 189.0,
      "x2": 196.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001249"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000246.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 189.0,
      "x2": 196.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001249"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000247.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 172.0,
      "x2": 142.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001250"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000247.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 42.5,
      "y1": 172.0,
      "x2": 142.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001250"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000249.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 168.5,
      "x2": 481.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001251"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000249.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 168.5,
      "x2": 481.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001251"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000254.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 43.5,
      "y1": 169.5,
      "x2": 111.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001252"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000254.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 43.5,
      "y1": 169.5,
      "x2": 111.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001252"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000255.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 177.0,
      "x2": 105.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001253"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000255.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 177.0,
      "x2": 105.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001253"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000257.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 205.0,
      "x2": 417.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001254"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000257.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 205.0,
      "x2": 417.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001254"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000261.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 110.0,
      "y1": 160.5,
      "x2": 197.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001255"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000261.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 110.0,
      "y1": 160.5,
      "x2": 197.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001255"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000263.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 85.0,
      "x2": 190.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001256"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000263.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 85.0,
      "x2": 190.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001256"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000265.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 184.5,
      "x2": 481.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001257"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000265.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 184.5,
      "x2": 481.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001257"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000267.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 192.0,
      "x2": 457.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001258"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000267.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 192.0,
      "x2": 457.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001258"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000268.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 191.5,
      "x2": 623.0,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001259"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000268.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 191.5,
      "x2": 623.0,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001259"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000272.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 197.0,
      "x2": 460.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001260"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000272.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 197.0,
      "x2": 460.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001260"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000274.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 196.0,
      "x2": 582.5,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001261"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000274.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 196.0,
      "x2": 582.5,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001261"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000276.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 190.5,
      "x2": 504.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001262"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000276.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 190.5,
      "x2": 504.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001262"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000277.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 189.0,
      "x2": 600.5,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001263"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000277.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 189.0,
      "x2": 600.5,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001263"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000280.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 177.0,
      "x2": 258.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001264"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000280.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 177.0,
      "x2": 258.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001264"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000282.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 173.5,
      "x2": 274.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001265"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000282.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.5,
      "y1": 173.5,
      "x2": 274.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001265"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000283.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 151.0,
      "x2": 230.5,
      "y2": 380.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001266"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000283.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 151.0,
      "x2": 230.5,
      "y2": 380.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001266"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000284.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 338.0,
      "y1": 186.0,
      "x2": 389.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001267"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000284.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 338.0,
      "y1": 186.0,
      "x2": 389.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001267"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000285.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 191.5,
      "x2": 448.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001268"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000285.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 191.5,
      "x2": 448.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001268"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000291.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 200.0,
      "x2": 178.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001269"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000291.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 200.0,
      "x2": 178.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001269"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000292.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 195.0,
      "x2": 458.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001270"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000292.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 195.0,
      "x2": 458.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001270"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000293.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 196.0,
      "x2": 500.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001271"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000293.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 196.0,
      "x2": 500.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001271"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000294.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 85.5,
      "y1": 203.5,
      "x2": 171.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001272"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000294.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 85.5,
      "y1": 203.5,
      "x2": 171.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001272"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000299.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 195.5,
      "x2": 471.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001273"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000299.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 195.5,
      "x2": 471.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001273"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000301.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 154.5,
      "y1": 184.0,
      "x2": 228.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001274"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000301.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 154.5,
      "y1": 184.0,
      "x2": 228.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001274"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000302.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 121.5,
      "y1": 182.0,
      "x2": 238.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001275"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000302.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 121.5,
      "y1": 182.0,
      "x2": 238.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001275"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000304.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 187.0,
      "y1": 180.5,
      "x2": 274.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001276"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000304.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 187.0,
      "y1": 180.5,
      "x2": 274.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001276"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000305.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 180.5,
      "x2": 277.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001277"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000305.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 180.5,
      "x2": 277.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001277"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000306.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 156.5,
      "y1": 176.5,
      "x2": 277.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001278"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000306.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 156.5,
      "y1": 176.5,
      "x2": 277.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001278"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000307.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 167.0,
      "x2": 244.0,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001279"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000307.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 167.0,
      "x2": 244.0,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001279"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000308.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 198.5,
      "x2": 210.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001280"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000308.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 198.5,
      "x2": 210.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001280"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000310.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 149.5,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001281"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000310.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 149.5,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001281"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000313.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 201.5,
      "x2": 278.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001282"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000313.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 191.0,
      "y1": 201.5,
      "x2": 278.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001282"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000314.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 190.5,
      "x2": 447.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001283"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000314.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 190.5,
      "x2": 447.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001283"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000315.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 518.0,
      "y1": 186.5,
      "x2": 586.5,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001284"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000315.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 518.0,
      "y1": 186.5,
      "x2": 586.5,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001284"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000317.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 178.5,
      "x2": 522.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001285"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000317.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 178.5,
      "x2": 522.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001285"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000319.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 178.0,
      "x2": 338.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001286"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000319.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 178.0,
      "x2": 338.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001286"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000321.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 10.5,
      "y1": 213.0,
      "x2": 243.0,
      "y2": 372.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001287"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000321.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 10.5,
      "y1": 213.0,
      "x2": 243.0,
      "y2": 372.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001287"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000322.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 206.5,
      "x2": 508.0,
      "y2": 309.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001288"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000322.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 206.5,
      "x2": 508.0,
      "y2": 309.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001288"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000324.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001289"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000324.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001289"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000327.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 25.5,
      "y1": 185.0,
      "x2": 93.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001290"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000327.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 25.5,
      "y1": 185.0,
      "x2": 93.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001290"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000329.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 99.5,
      "y1": 189.0,
      "x2": 184.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001291"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000329.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 99.5,
      "y1": 189.0,
      "x2": 184.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001291"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000330.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 187.5,
      "x2": 413.5,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001292"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000330.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.5,
      "y1": 187.5,
      "x2": 413.5,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001292"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000331.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001293"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000331.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001293"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000335.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 603.0,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001294"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000335.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 603.0,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001294"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000336.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 355.0,
      "y1": 186.5,
      "x2": 540.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001295"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000336.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 355.0,
      "y1": 186.5,
      "x2": 540.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001295"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000339.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 177.0,
      "x2": 396.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001296"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000339.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 177.0,
      "x2": 396.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001296"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000340.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 181.5,
      "x2": 163.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001297"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000340.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 181.5,
      "x2": 163.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001297"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000341.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 182.5,
      "x2": 119.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001298"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000341.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 182.5,
      "x2": 119.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001298"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000342.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001299"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000342.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001299"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000344.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 189.0,
      "x2": 251.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001300"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000344.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 189.0,
      "x2": 251.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001300"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000345.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 189.0,
      "x2": 123.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001301"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000345.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 189.0,
      "x2": 123.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001301"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000349.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 120.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001302"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000349.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 120.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001302"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000351.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 143.5,
      "x2": 639.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001303"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000351.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 143.5,
      "x2": 639.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001303"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000353.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 129.5,
      "x2": 265.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001304"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000353.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 129.5,
      "x2": 265.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001304"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000354.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001305"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000354.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001305"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000355.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 199.5,
      "x2": 501.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001306"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000355.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 318.5,
      "y1": 199.5,
      "x2": 501.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001306"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000356.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 193.0,
      "x2": 218.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001307"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000356.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 193.0,
      "x2": 218.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001307"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000359.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001308"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000359.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001308"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000360.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 119.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001309"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000360.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 119.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001309"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000361.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 189.5,
      "x2": 121.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001310"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000361.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 189.5,
      "x2": 121.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001310"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000363.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001311"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000363.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001311"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000368.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001312"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000368.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001312"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000371.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 19.0,
      "y1": 191.5,
      "x2": 122.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001313"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000371.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 19.0,
      "y1": 191.5,
      "x2": 122.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001313"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000372.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001314"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000372.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001314"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000373.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001315"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000373.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001315"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000374.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001316"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000374.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001316"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000376.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001317"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000376.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001317"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000378.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 185.0,
      "x2": 395.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001318"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000378.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 185.0,
      "x2": 395.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001318"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000379.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001319"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000379.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001319"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000380.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 187.5,
      "x2": 119.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001320"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000380.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 187.5,
      "x2": 119.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001320"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000382.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001321"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000382.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001321"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000384.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001322"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000384.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001322"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000387.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001323"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000387.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001323"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000390.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 119.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001324"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000390.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 119.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001324"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000391.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 190.5,
      "x2": 119.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001325"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000391.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 190.5,
      "x2": 119.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001325"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000398.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001326"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000398.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001326"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000409.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 575.0,
      "y1": 255.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001327"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000409.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 575.0,
      "y1": 255.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001327"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000412.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 182.5,
      "x2": 39.0,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001328"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000412.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 182.5,
      "x2": 39.0,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001328"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000413.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 190.0,
      "x2": 269.0,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001329"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000413.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 190.0,
      "x2": 269.0,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001329"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000414.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 355.5,
      "y1": 196.0,
      "x2": 547.5,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001330"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000414.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 355.5,
      "y1": 196.0,
      "x2": 547.5,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001330"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000415.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 186.5,
      "x2": 254.0,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001331"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000415.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 161.5,
      "y1": 186.5,
      "x2": 254.0,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001331"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000420.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 187.5,
      "x2": 31.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001332"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000420.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 187.5,
      "x2": 31.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001332"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000421.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 119.0,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001333"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000421.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 119.0,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001333"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000422.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 201.5,
      "x2": 181.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001334"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000422.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 201.5,
      "x2": 181.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001334"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000426.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 200.0,
      "x2": 213.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001335"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000426.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 53.0,
      "y1": 200.0,
      "x2": 213.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001335"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000429.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 92.5,
      "y1": 215.5,
      "x2": 210.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001336"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000429.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 92.5,
      "y1": 215.5,
      "x2": 210.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001336"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000433.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 184.0,
      "x2": 489.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001337"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000433.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 184.0,
      "x2": 489.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001337"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000435.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 201.0,
      "x2": 262.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001338"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000435.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 201.0,
      "x2": 262.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001338"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000436.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 132.0,
      "y1": 201.5,
      "x2": 238.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001339"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000436.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 132.0,
      "y1": 201.5,
      "x2": 238.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001339"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000437.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 175.0,
      "y1": 191.0,
      "x2": 251.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001340"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000437.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 175.0,
      "y1": 191.0,
      "x2": 251.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001340"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000438.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 39.0,
      "y1": 203.0,
      "x2": 196.5,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001341"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000438.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 39.0,
      "y1": 203.0,
      "x2": 196.5,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001341"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000439.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 455.0,
      "y1": 190.5,
      "x2": 509.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001342"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000439.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.0,
      "y1": 190.5,
      "x2": 509.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001342"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000441.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 171.5,
      "y1": 203.0,
      "x2": 248.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001343"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000441.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 171.5,
      "y1": 203.0,
      "x2": 248.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001343"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000442.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 201.0,
      "x2": 261.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001344"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000442.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 201.0,
      "x2": 261.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001344"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000444.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 193.0,
      "x2": 449.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001345"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000444.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 193.0,
      "x2": 449.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001345"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000447.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 178.0,
      "x2": 517.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001346"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000447.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 178.0,
      "x2": 517.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001346"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000448.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 192.0,
      "x2": 501.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001347"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000448.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 192.0,
      "x2": 501.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001347"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000449.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 194.5,
      "x2": 589.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001348"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000449.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 194.5,
      "x2": 589.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001348"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000450.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 193.5,
      "x2": 269.5,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001349"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000450.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 193.5,
      "x2": 269.5,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001349"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000452.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 8.0,
      "y1": 194.0,
      "x2": 174.5,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001350"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000452.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 8.0,
      "y1": 194.0,
      "x2": 174.5,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001350"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000454.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 203.5,
      "x2": 621.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001351"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000454.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 203.5,
      "x2": 621.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001351"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000457.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 191.0,
      "x2": 481.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001352"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000457.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 191.0,
      "x2": 481.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001352"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000460.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 200.5,
      "x2": 518.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001353"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000460.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 200.5,
      "x2": 518.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001353"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000461.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 177.0,
      "x2": 292.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001354"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000461.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 177.0,
      "x2": 292.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001354"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000464.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 106.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001355"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000464.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 106.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001355"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000465.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 156.0,
      "x2": 639.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001356"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000465.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 156.0,
      "x2": 639.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001356"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000466.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 151.5,
      "x2": 639.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001357"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000466.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 151.5,
      "x2": 639.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001357"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000467.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 138.5,
      "x2": 639.5,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001358"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000467.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 138.5,
      "x2": 639.5,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001358"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000469.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 189.0,
      "x2": 445.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001359"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000469.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 189.0,
      "x2": 445.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001359"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000470.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 190.0,
      "x2": 437.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001360"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000470.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 190.0,
      "x2": 437.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001360"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000472.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 194.5,
      "x2": 388.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001361"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000472.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 194.5,
      "x2": 388.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001361"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000473.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 195.5,
      "x2": 386.5,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001362"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000473.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 195.5,
      "x2": 386.5,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001362"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000474.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 197.5,
      "x2": 387.5,
      "y2": 281.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001363"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000474.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 197.5,
      "x2": 387.5,
      "y2": 281.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001363"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000480.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001364"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000480.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001364"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000481.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 207.0,
      "x2": 558.0,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001365"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000481.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 207.0,
      "x2": 558.0,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001365"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000483.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 201.0,
      "x2": 469.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001366"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000483.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 201.0,
      "x2": 469.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001366"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000484.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 390.5,
      "y1": 197.0,
      "x2": 449.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001367"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000484.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 390.5,
      "y1": 197.0,
      "x2": 449.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001367"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000489.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 191.0,
      "x2": 202.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001368"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000489.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 191.0,
      "x2": 202.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001368"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000491.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 188.5,
      "x2": 233.5,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001369"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000491.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 188.5,
      "x2": 233.5,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001369"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000492.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 182.5,
      "x2": 213.0,
      "y2": 205.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001370"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000492.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 182.5,
      "x2": 213.0,
      "y2": 205.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001370"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000494.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 192.0,
      "x2": 434.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001371"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000494.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 192.0,
      "x2": 434.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001371"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000495.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 167.0,
      "y1": 185.5,
      "x2": 226.5,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001372"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000495.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 167.0,
      "y1": 185.5,
      "x2": 226.5,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001372"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000497.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 180.0,
      "x2": 251.0,
      "y2": 206.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001373"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000497.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 180.0,
      "x2": 251.0,
      "y2": 206.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001373"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000500.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 78.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001374"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000500.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 78.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001374"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000502.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 198.0,
      "x2": 50.0,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001375"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000502.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 198.0,
      "x2": 50.0,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001375"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000503.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 191.0,
      "x2": 236.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001376"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000503.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 191.0,
      "x2": 236.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001376"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000504.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 271.5,
      "y1": 195.5,
      "x2": 338.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001377"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000504.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 271.5,
      "y1": 195.5,
      "x2": 338.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001377"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000505.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.5,
      "x2": 349.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001378"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000505.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.5,
      "x2": 349.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001378"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000506.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 195.0,
      "x2": 365.5,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001379"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000506.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 195.0,
      "x2": 365.5,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001379"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000509.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 191.0,
      "x2": 298.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001380"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000509.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 191.0,
      "x2": 298.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001380"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000510.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 352.0,
      "y1": 197.5,
      "x2": 411.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001381"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000510.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 352.0,
      "y1": 197.5,
      "x2": 411.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001381"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000511.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 199.5,
      "x2": 428.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001382"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000511.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 199.5,
      "x2": 428.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001382"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000512.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 196.0,
      "x2": 451.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001383"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000512.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 196.0,
      "x2": 451.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001383"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000522.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001384"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000522.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001384"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000524.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 178.5,
      "x2": 73.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001385"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000524.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 178.5,
      "x2": 73.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001385"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000529.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 190.5,
      "x2": 372.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001386"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000529.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 190.5,
      "x2": 372.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001386"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000530.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 198.5,
      "x2": 369.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001387"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000530.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 198.5,
      "x2": 369.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001387"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000532.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 193.5,
      "x2": 449.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001388"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000532.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 193.5,
      "x2": 449.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001388"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000535.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 199.0,
      "x2": 532.5,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001389"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000535.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 199.0,
      "x2": 532.5,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001389"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000537.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 256.0,
      "y1": 192.5,
      "x2": 317.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001390"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000537.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 256.0,
      "y1": 192.5,
      "x2": 317.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001390"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000538.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 246.0,
      "y1": 196.0,
      "x2": 315.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001391"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000538.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.0,
      "y1": 196.0,
      "x2": 315.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001391"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000541.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 189.5,
      "x2": 503.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001392"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000541.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 189.5,
      "x2": 503.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001392"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000544.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 123.5,
      "y1": 151.5,
      "x2": 209.0,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001393"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000544.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 123.5,
      "y1": 151.5,
      "x2": 209.0,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001393"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000545.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 101.5,
      "y1": 158.0,
      "x2": 201.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001394"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000545.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 101.5,
      "y1": 158.0,
      "x2": 201.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001394"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000548.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 165.5,
      "x2": 196.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001395"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000548.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 165.5,
      "x2": 196.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001395"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000550.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 166.0,
      "x2": 195.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001396"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000550.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 166.0,
      "x2": 195.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001396"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000552.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 91.0,
      "y1": 171.0,
      "x2": 195.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001397"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000552.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 91.0,
      "y1": 171.0,
      "x2": 195.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001397"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000553.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 172.5,
      "x2": 187.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001398"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000553.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 172.5,
      "x2": 187.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001398"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000555.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 178.5,
      "x2": 508.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001399"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000555.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 178.5,
      "x2": 508.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001399"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000556.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 177.0,
      "x2": 508.0,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001400"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000556.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 177.0,
      "x2": 508.0,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001400"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000558.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 177.0,
      "x2": 507.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001401"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000558.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 177.0,
      "x2": 507.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001401"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000561.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 168.5,
      "x2": 54.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001402"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000561.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 168.5,
      "x2": 54.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001402"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000562.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.5,
      "x2": 58.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001403"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000562.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.5,
      "x2": 58.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001403"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000564.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 30.5,
      "y1": 170.0,
      "x2": 163.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001404"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000564.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 30.5,
      "y1": 170.0,
      "x2": 163.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001404"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000567.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 166.0,
      "x2": 639.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001405"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000567.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 166.0,
      "x2": 639.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001405"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000568.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 183.0,
      "x2": 472.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001406"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000568.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 183.0,
      "x2": 472.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001406"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000571.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 198.5,
      "x2": 564.0,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001407"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000571.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 198.5,
      "x2": 564.0,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001407"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000575.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 193.0,
      "x2": 416.0,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001408"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000575.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 193.0,
      "x2": 416.0,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001408"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000576.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 196.0,
      "x2": 428.5,
      "y2": 318.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001409"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000576.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.5,
      "y1": 196.0,
      "x2": 428.5,
      "y2": 318.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001409"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000578.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 196.5,
      "x2": 458.0,
      "y2": 359.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001410"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000578.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 196.5,
      "x2": 458.0,
      "y2": 359.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001410"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000580.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 201.0,
      "x2": 544.5,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001411"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000580.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 201.0,
      "x2": 544.5,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001411"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000582.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001412"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000582.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001412"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000584.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001413"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000584.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001413"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000585.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 168.0,
      "x2": 221.0,
      "y2": 195.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001414"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000585.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 153.0,
      "y1": 168.0,
      "x2": 221.0,
      "y2": 195.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001414"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000589.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 153.5,
      "x2": 237.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001415"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000589.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 153.5,
      "x2": 237.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001415"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000595.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 183.5,
      "x2": 500.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001416"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000595.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 183.5,
      "x2": 500.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001416"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000598.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 67.0,
      "y1": 166.0,
      "x2": 134.5,
      "y2": 192.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001417"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000598.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 67.0,
      "y1": 166.0,
      "x2": 134.5,
      "y2": 192.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001417"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000599.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 4.0,
      "y1": 161.0,
      "x2": 88.5,
      "y2": 195.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001418"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000599.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 4.0,
      "y1": 161.0,
      "x2": 88.5,
      "y2": 195.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001418"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000601.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 190.5,
      "x2": 608.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001419"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000601.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 190.5,
      "x2": 608.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001419"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000603.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001420"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000603.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001420"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000604.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001421"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000604.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001421"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000606.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 245.5,
      "y1": 184.0,
      "x2": 353.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001422"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000606.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 245.5,
      "y1": 184.0,
      "x2": 353.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001422"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000608.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 198.5,
      "x2": 467.0,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001423"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000608.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 198.5,
      "x2": 467.0,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001423"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000609.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001424"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000609.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001424"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000612.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001425"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000612.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001425"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000615.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 198.0,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001426"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000615.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 198.0,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001426"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000616.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 199.0,
      "x2": 470.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001427"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000616.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 199.0,
      "x2": 470.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001427"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000619.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 146.5,
      "x2": 220.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001428"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000619.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 146.5,
      "x2": 220.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001428"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000624.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001429"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000624.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001429"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000625.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001430"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000625.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001430"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000627.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 539.5,
      "y1": 188.5,
      "x2": 638.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001431"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000627.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 539.5,
      "y1": 188.5,
      "x2": 638.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001431"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000628.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 188.5,
      "x2": 594.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001432"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000628.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.5,
      "y1": 188.5,
      "x2": 594.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001432"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000634.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 395.0,
      "y1": 185.0,
      "x2": 487.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001433"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000634.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.0,
      "y1": 185.0,
      "x2": 487.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001433"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000635.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001434"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000635.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001434"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000636.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001435"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000636.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001435"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000641.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 161.0,
      "x2": 586.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001436"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000641.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 161.0,
      "x2": 586.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001436"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000642.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 160.5,
      "x2": 427.0,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001437"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000642.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 160.5,
      "x2": 427.0,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001437"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000644.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 589.0,
      "y1": 189.0,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001438"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000644.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 589.0,
      "y1": 189.0,
      "x2": 639.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001438"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000647.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 173.5,
      "x2": 52.5,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001439"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000647.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 173.5,
      "x2": 52.5,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001439"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000649.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001440"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000649.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001440"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000650.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001441"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000650.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001441"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000652.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001442"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000652.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001442"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000653.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001443"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000653.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001443"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000655.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001444"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000655.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001444"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000656.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001445"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000656.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001445"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000662.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 25.5,
      "y1": 147.5,
      "x2": 228.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001446"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000662.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 25.5,
      "y1": 147.5,
      "x2": 228.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001446"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000664.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 224.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001447"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000664.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 224.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001447"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000665.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 224.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001448"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000665.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 224.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001448"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000667.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 146.5,
      "x2": 224.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001449"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000667.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 146.5,
      "x2": 224.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001449"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000669.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 198.5,
      "x2": 469.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001450"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000669.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 198.5,
      "x2": 469.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001450"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000670.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001451"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000670.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001451"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000672.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.0,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001452"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000672.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.0,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001452"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000673.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001453"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000673.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001453"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000674.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.0,
      "x2": 470.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001454"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000674.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.0,
      "x2": 470.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001454"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000676.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 199.0,
      "x2": 471.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001455"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000676.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 199.0,
      "x2": 471.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001455"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000678.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.0,
      "x2": 63.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001456"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000678.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.0,
      "x2": 63.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001456"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000679.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 175.0,
      "x2": 236.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001457"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000679.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 175.0,
      "x2": 236.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001457"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000680.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 174.5,
      "x2": 459.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001458"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000680.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 174.5,
      "x2": 459.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001458"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000682.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 79.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001459"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000682.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 79.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001459"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000683.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 185.0,
      "x2": 272.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001460"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000683.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 185.0,
      "x2": 272.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001460"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000685.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 175.5,
      "x2": 479.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001461"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000685.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 175.5,
      "x2": 479.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001461"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000687.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 185.0,
      "x2": 560.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001462"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000687.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 185.0,
      "x2": 560.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001462"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000688.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 257.5,
      "y1": 181.0,
      "x2": 365.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001463"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000688.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 257.5,
      "y1": 181.0,
      "x2": 365.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001463"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000693.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 380.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001464"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000693.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 380.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001464"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000694.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 93.0,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001465"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000694.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 93.0,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001465"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000695.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 184.5,
      "x2": 272.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001466"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000695.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 184.5,
      "x2": 272.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001466"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000696.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 183.5,
      "x2": 496.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001467"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000696.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 183.5,
      "x2": 496.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001467"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000701.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 215.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001468"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000701.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 215.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001468"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000702.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 146.5,
      "x2": 224.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001469"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000702.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 146.5,
      "x2": 224.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001469"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000704.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 147.0,
      "x2": 231.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001470"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000704.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 147.0,
      "x2": 231.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001470"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000705.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 31.5,
      "y1": 146.0,
      "x2": 238.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001471"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000705.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 31.5,
      "y1": 146.0,
      "x2": 238.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001471"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000707.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 56.5,
      "y1": 147.5,
      "x2": 266.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001472"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000707.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 56.5,
      "y1": 147.5,
      "x2": 266.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001472"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000709.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 88.0,
      "y1": 148.5,
      "x2": 306.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001473"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000709.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 88.0,
      "y1": 148.5,
      "x2": 306.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001473"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000711.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 184.5,
      "x2": 309.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001474"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000711.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 184.5,
      "x2": 309.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001474"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000714.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 453.5,
      "y1": 182.5,
      "x2": 553.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001475"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000714.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 453.5,
      "y1": 182.5,
      "x2": 553.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001475"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000715.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 182.0,
      "x2": 476.0,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001476"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000715.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 182.0,
      "x2": 476.0,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001476"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000716.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 179.5,
      "x2": 411.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001477"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000716.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 179.5,
      "x2": 411.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001477"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000717.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001478"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000717.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001478"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000718.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001479"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000718.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001479"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000719.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001480"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000719.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001480"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000725.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 196.0,
      "x2": 456.5,
      "y2": 358.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001481"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000725.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 196.0,
      "x2": 456.5,
      "y2": 358.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001481"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000726.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 195.5,
      "x2": 455.5,
      "y2": 357.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001482"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000726.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 195.5,
      "x2": 455.5,
      "y2": 357.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001482"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000728.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001483"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000728.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001483"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000729.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 559.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001484"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000729.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 559.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001484"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000730.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001485"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000730.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001485"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000737.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001486"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000737.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001486"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000739.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.0,
      "x2": 51.0,
      "y2": 200.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001487"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000739.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.0,
      "x2": 51.0,
      "y2": 200.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001487"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000742.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 572.5,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001488"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000742.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 572.5,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001488"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000744.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001489"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000744.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001489"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000746.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001490"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000746.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001490"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000747.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001491"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000747.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001491"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000751.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001492"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000751.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001492"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000752.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001493"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000752.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001493"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000762.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 598.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 375.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001494"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000762.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 598.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 375.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001494"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000764.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001495"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000764.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001495"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000766.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001496"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000766.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001496"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000768.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 150.0,
      "x2": 371.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001497"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000768.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 164.5,
      "y1": 150.0,
      "x2": 371.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001497"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000770.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 150.5,
      "x2": 408.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001498"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000770.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 150.5,
      "x2": 408.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001498"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000772.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 293.0,
      "y1": 151.5,
      "x2": 411.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001499"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000772.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 293.0,
      "y1": 151.5,
      "x2": 411.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001499"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000773.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 153.5,
      "x2": 408.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001500"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000773.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 321.5,
      "y1": 153.5,
      "x2": 408.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001500"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000777.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.0,
      "x2": 457.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001501"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000777.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.0,
      "x2": 457.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001501"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000778.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 196.0,
      "x2": 455.0,
      "y2": 359.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001502"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000778.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 196.0,
      "x2": 455.0,
      "y2": 359.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001502"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000781.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 196.0,
      "x2": 454.5,
      "y2": 358.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001503"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000781.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 196.0,
      "x2": 454.5,
      "y2": 358.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001503"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000782.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 195.0,
      "x2": 456.5,
      "y2": 358.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001504"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000782.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 195.0,
      "x2": 456.5,
      "y2": 358.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001504"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000785.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 195.5,
      "x2": 455.5,
      "y2": 358.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001505"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000785.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 195.5,
      "x2": 455.5,
      "y2": 358.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001505"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000786.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 195.0,
      "x2": 456.5,
      "y2": 357.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001506"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000786.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 195.0,
      "x2": 456.5,
      "y2": 357.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001506"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000788.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 97.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001507"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000788.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 97.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001507"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000790.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 177.0,
      "x2": 265.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001508"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000790.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 138.0,
      "y1": 177.0,
      "x2": 265.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001508"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000791.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 177.5,
      "x2": 360.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001509"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000791.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 177.5,
      "x2": 360.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001509"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000792.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 178.5,
      "x2": 404.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001510"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000792.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 178.5,
      "x2": 404.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001510"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000794.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 51.0,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001511"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000794.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.5,
      "x2": 51.0,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001511"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000795.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 62.5,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001512"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000795.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 62.5,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001512"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000796.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 64.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001513"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000796.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 64.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001513"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000798.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.5,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001514"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000798.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.5,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001514"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000799.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 178.5,
      "x2": 63.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001515"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000799.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 178.5,
      "x2": 63.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001515"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000800.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 64.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001516"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000800.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 64.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001516"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000802.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.0,
      "x2": 64.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001517"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000802.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.0,
      "x2": 64.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001517"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000803.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 56.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001518"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000803.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.5,
      "x2": 56.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001518"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000804.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 195.5,
      "x2": 456.0,
      "y2": 358.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001519"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000804.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 195.5,
      "x2": 456.0,
      "y2": 358.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001519"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000805.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 195.5,
      "x2": 451.0,
      "y2": 352.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001520"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000805.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 195.5,
      "x2": 451.0,
      "y2": 352.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001520"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000807.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 195.0,
      "x2": 445.5,
      "y2": 341.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001521"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000807.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 195.0,
      "x2": 445.5,
      "y2": 341.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001521"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000808.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 195.5,
      "x2": 443.5,
      "y2": 340.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001522"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000808.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 195.5,
      "x2": 443.5,
      "y2": 340.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001522"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000809.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 195.5,
      "x2": 432.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001523"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000809.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 195.5,
      "x2": 432.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001523"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000811.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 188.5,
      "x2": 390.5,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001524"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000811.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 188.5,
      "x2": 390.5,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001524"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000812.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 185.5,
      "x2": 372.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001525"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000812.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 185.5,
      "x2": 372.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001525"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000813.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 186.0,
      "x2": 355.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001526"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000813.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 186.0,
      "x2": 355.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001526"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000816.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 598.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001527"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000816.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 598.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001527"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000817.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001528"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000817.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001528"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000820.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001529"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000820.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001529"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000821.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001530"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000821.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001530"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000822.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001531"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000822.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001531"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000823.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001532"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000823.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001532"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000831.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 523.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001533"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000831.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 523.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001533"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000832.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001534"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000832.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001534"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000834.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001535"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000834.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001535"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000835.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 208.5,
      "x2": 616.5,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001536"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000835.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 208.5,
      "x2": 616.5,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001536"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000836.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 211.5,
      "x2": 605.0,
      "y2": 355.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001537"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000836.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.0,
      "y1": 211.5,
      "x2": 605.0,
      "y2": 355.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001537"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000840.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 189.5,
      "x2": 466.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001538"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000840.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 189.5,
      "x2": 466.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001538"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000844.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 184.0,
      "x2": 569.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001539"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000844.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 184.0,
      "x2": 569.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001539"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000846.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 184.0,
      "x2": 526.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001540"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000846.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 184.0,
      "x2": 526.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001540"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000847.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 188.0,
      "x2": 639.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001541"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000847.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 188.0,
      "x2": 639.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001541"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000848.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 192.0,
      "x2": 639.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001542"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000848.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.5,
      "y1": 192.0,
      "x2": 639.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001542"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000852.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 179.5,
      "x2": 508.0,
      "y2": 204.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001543"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000852.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 179.5,
      "x2": 508.0,
      "y2": 204.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001543"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000857.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 181.5,
      "x2": 490.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001544"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000857.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.0,
      "y1": 181.5,
      "x2": 490.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001544"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000858.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.5,
      "x2": 453.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001545"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000858.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.5,
      "x2": 453.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001545"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000859.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 189.5,
      "x2": 453.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001546"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000859.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 189.5,
      "x2": 453.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001546"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000861.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 189.0,
      "x2": 454.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001547"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000861.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.0,
      "y1": 189.0,
      "x2": 454.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001547"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000865.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 181.0,
      "x2": 482.5,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001548"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000865.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 181.0,
      "x2": 482.5,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001548"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000870.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 180.0,
      "x2": 490.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001549"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000870.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 180.0,
      "x2": 490.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001549"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000871.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 398.5,
      "y1": 182.5,
      "x2": 462.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001550"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000871.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 398.5,
      "y1": 182.5,
      "x2": 462.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001550"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000872.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 357.5,
      "y1": 180.5,
      "x2": 446.0,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001551"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000872.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 357.5,
      "y1": 180.5,
      "x2": 446.0,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001551"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000874.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 176.5,
      "x2": 346.5,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001552"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000874.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 176.5,
      "x2": 346.5,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001552"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000877.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 191.5,
      "x2": 615.0,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001553"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000877.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 191.5,
      "x2": 615.0,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001553"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000878.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 187.0,
      "x2": 534.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001554"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000878.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 187.0,
      "x2": 534.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001554"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000880.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 186.0,
      "x2": 452.5,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001555"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000880.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 186.0,
      "x2": 452.5,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001555"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000883.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 136.5,
      "y1": 199.5,
      "x2": 291.0,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001556"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000883.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 136.5,
      "y1": 199.5,
      "x2": 291.0,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001556"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000890.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 187.0,
      "x2": 367.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001557"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000890.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 187.0,
      "x2": 367.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001557"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000891.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 137.5,
      "x2": 458.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001558"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000891.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 137.5,
      "x2": 458.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001558"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000893.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 70.5,
      "x2": 355.0,
      "y2": 333.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001559"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000893.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 70.5,
      "x2": 355.0,
      "y2": 333.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001559"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000894.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 185.0,
      "x2": 298.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001560"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000894.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 185.0,
      "x2": 298.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001560"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000895.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 183.5,
      "x2": 436.5,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001561"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000895.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 183.5,
      "x2": 436.5,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001561"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000897.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 191.5,
      "x2": 271.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001562"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000897.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 191.5,
      "x2": 271.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001562"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000898.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 73.0,
      "y1": 191.5,
      "x2": 169.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001563"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000898.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 73.0,
      "y1": 191.5,
      "x2": 169.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001563"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000899.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 322.0,
      "y1": 190.5,
      "x2": 396.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001564"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000899.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 322.0,
      "y1": 190.5,
      "x2": 396.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001564"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000900.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 195.5,
      "x2": 347.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001565"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000900.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 195.5,
      "x2": 347.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001565"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000901.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 35.5,
      "y1": 195.5,
      "x2": 93.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001566"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000901.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 35.5,
      "y1": 195.5,
      "x2": 93.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001566"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000903.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 345.0,
      "y1": 189.5,
      "x2": 425.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001567"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000903.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 345.0,
      "y1": 189.5,
      "x2": 425.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001567"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000905.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 205.0,
      "x2": 216.5,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001568"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000905.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 205.0,
      "x2": 216.5,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001568"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000907.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 195.0,
      "x2": 310.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001569"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000907.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 195.0,
      "x2": 310.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001569"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000908.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 190.5,
      "x2": 341.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001570"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000908.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 190.5,
      "x2": 341.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001570"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000909.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 197.5,
      "x2": 360.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001571"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000909.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 197.5,
      "x2": 360.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001571"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000910.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 194.5,
      "x2": 369.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001572"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000910.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 194.5,
      "x2": 369.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001572"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000911.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 192.5,
      "x2": 375.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001573"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000911.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 192.5,
      "x2": 375.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001573"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000914.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 197.5,
      "x2": 193.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001574"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000914.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 197.5,
      "x2": 193.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001574"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000915.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 196.0,
      "x2": 364.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001575"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000915.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 196.0,
      "x2": 364.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001575"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000919.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 186.5,
      "x2": 625.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001576"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000919.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 186.5,
      "x2": 625.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001576"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000921.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 101.5,
      "y1": 189.0,
      "x2": 186.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001577"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000921.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 101.5,
      "y1": 189.0,
      "x2": 186.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001577"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000923.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 192.5,
      "x2": 254.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001578"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000923.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.0,
      "y1": 192.5,
      "x2": 254.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001578"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000925.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 65.5,
      "y1": 195.5,
      "x2": 201.0,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001579"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000925.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 65.5,
      "y1": 195.5,
      "x2": 201.0,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001579"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000926.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 197.5,
      "x2": 199.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001580"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000926.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 197.5,
      "x2": 199.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001580"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000929.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 211.0,
      "y1": 188.0,
      "x2": 264.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001581"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000929.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 211.0,
      "y1": 188.0,
      "x2": 264.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001581"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000930.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 196.5,
      "x2": 264.5,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001582"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000930.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 196.5,
      "x2": 264.5,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001582"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000932.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 205.0,
      "x2": 182.5,
      "y2": 336.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001583"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000932.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 205.0,
      "x2": 182.5,
      "y2": 336.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001583"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000933.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 173.5,
      "x2": 286.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001584"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000933.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 173.5,
      "x2": 286.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001584"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000938.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 194.5,
      "x2": 480.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001585"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000938.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 194.5,
      "x2": 480.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001585"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000942.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 194.5,
      "x2": 250.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001586"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000942.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 194.5,
      "x2": 250.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001586"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000943.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 90.5,
      "y1": 203.0,
      "x2": 215.5,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001587"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000943.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 90.5,
      "y1": 203.0,
      "x2": 215.5,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001587"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000944.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 197.5,
      "x2": 528.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001588"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000944.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 197.5,
      "x2": 528.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001588"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000946.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 194.0,
      "x2": 484.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001589"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000946.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 194.0,
      "x2": 484.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001589"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000947.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 198.0,
      "x2": 529.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001590"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000947.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 198.0,
      "x2": 529.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001590"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000948.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 187.5,
      "x2": 374.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001591"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000948.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 187.5,
      "x2": 374.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001591"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000949.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 198.0,
      "x2": 370.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001592"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000949.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 198.0,
      "x2": 370.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001592"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000952.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 190.0,
      "x2": 384.0,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001593"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000952.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 190.0,
      "x2": 384.0,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001593"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000954.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 191.0,
      "x2": 385.5,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001594"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000954.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.5,
      "y1": 191.0,
      "x2": 385.5,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001594"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000955.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 192.0,
      "x2": 387.0,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001595"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000955.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 192.0,
      "x2": 387.0,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001595"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000956.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 194.5,
      "x2": 389.0,
      "y2": 298.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001596"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000956.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 194.5,
      "x2": 389.0,
      "y2": 298.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001596"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000957.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 192.5,
      "x2": 398.5,
      "y2": 318.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001597"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000957.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 192.5,
      "x2": 398.5,
      "y2": 318.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001597"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000958.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 150.5,
      "x2": 175.0,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001598"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000958.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 150.5,
      "x2": 175.0,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001598"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000960.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 156.0,
      "y1": 201.0,
      "x2": 244.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001599"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000960.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 156.0,
      "y1": 201.0,
      "x2": 244.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001599"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000962.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 168.5,
      "y1": 190.0,
      "x2": 243.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001600"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000962.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 168.5,
      "y1": 190.0,
      "x2": 243.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001600"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000963.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 60.5,
      "y1": 200.0,
      "x2": 201.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001601"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000963.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 60.5,
      "y1": 200.0,
      "x2": 201.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001601"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000964.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 191.0,
      "x2": 536.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001602"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000964.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 191.0,
      "x2": 536.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001602"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000967.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 197.0,
      "x2": 577.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001603"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000967.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 197.0,
      "x2": 577.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001603"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000970.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 502.0,
      "y1": 201.0,
      "x2": 618.5,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001604"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000970.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.0,
      "y1": 201.0,
      "x2": 618.5,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001604"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000972.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 195.5,
      "x2": 524.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001605"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000972.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 195.5,
      "x2": 524.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001605"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000976.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 200.5,
      "x2": 517.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001606"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000976.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 200.5,
      "x2": 517.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001606"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000978.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 587.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 334.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001607"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000978.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 587.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 334.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001607"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000983.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 182.0,
      "x2": 551.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001608"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000983.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 182.0,
      "x2": 551.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001608"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000985.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 180.0,
      "x2": 639.5,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001609"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000985.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 180.0,
      "x2": 639.5,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001609"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000987.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 197.5,
      "x2": 244.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001610"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000987.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 197.5,
      "x2": 244.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001610"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000989.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 191.5,
      "x2": 424.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001611"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000989.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 191.5,
      "x2": 424.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001611"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000990.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 192.5,
      "x2": 435.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001612"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000990.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.5,
      "y1": 192.5,
      "x2": 435.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001612"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000991.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 213.5,
      "y1": 151.0,
      "x2": 283.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001613"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000991.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 213.5,
      "y1": 151.0,
      "x2": 283.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001613"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000997.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 147.5,
      "x2": 297.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001614"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000997.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 147.5,
      "x2": 297.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001614"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000998.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 170.0,
      "y1": 136.5,
      "x2": 278.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001615"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000998.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 170.0,
      "y1": 136.5,
      "x2": 278.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001615"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 65.0,
      "x2": 234.5,
      "y2": 335.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001616"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 65.0,
      "x2": 234.5,
      "y2": 335.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001616"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 509.5,
      "y1": 181.0,
      "x2": 639.5,
      "y2": 313.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001617"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 509.5,
      "y1": 181.0,
      "x2": 639.5,
      "y2": 313.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001617"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 170.5,
      "x2": 569.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001618"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 170.5,
      "x2": 569.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001618"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 181.5,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001619"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 181.5,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001619"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 193.5,
      "x2": 430.0,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001620"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 193.5,
      "x2": 430.0,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001620"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001015.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 196.5,
      "x2": 428.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001621"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001015.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 196.5,
      "x2": 428.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001621"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001016.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 195.5,
      "x2": 429.0,
      "y2": 371.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001622"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001016.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 195.5,
      "x2": 429.0,
      "y2": 371.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001622"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001017.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 197.5,
      "x2": 422.0,
      "y2": 348.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001623"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001017.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 258.5,
      "y1": 197.5,
      "x2": 422.0,
      "y2": 348.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001623"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001019.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 192.5,
      "x2": 397.5,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001624"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001019.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 192.5,
      "x2": 397.5,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001624"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001022.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 285.0,
      "y1": 190.5,
      "x2": 383.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001625"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001022.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 285.0,
      "y1": 190.5,
      "x2": 383.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001625"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001025.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 201.0,
      "x2": 538.5,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001626"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001025.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 201.0,
      "x2": 538.5,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001626"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001026.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 198.5,
      "x2": 480.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001627"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001026.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 198.5,
      "x2": 480.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001627"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001027.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 190.0,
      "x2": 451.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001628"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001027.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 190.0,
      "x2": 451.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001628"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001029.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 176.0,
      "x2": 359.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001629"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001029.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 176.0,
      "x2": 359.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001629"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001030.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 208.0,
      "x2": 540.5,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001630"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001030.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 208.0,
      "x2": 540.5,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001630"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001032.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 194.5,
      "x2": 418.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001631"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001032.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 194.5,
      "x2": 418.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001631"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001035.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 206.5,
      "x2": 243.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001632"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001035.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 206.5,
      "x2": 243.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001632"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001036.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 325.0,
      "y1": 190.0,
      "x2": 389.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001633"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001036.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 325.0,
      "y1": 190.0,
      "x2": 389.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001633"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001038.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 186.5,
      "x2": 282.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001634"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001038.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 212.5,
      "y1": 186.5,
      "x2": 282.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001634"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001039.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 165.5,
      "x2": 226.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001635"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001039.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 155.0,
      "y1": 165.5,
      "x2": 226.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001635"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001040.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 186.0,
      "x2": 183.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001636"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001040.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 186.0,
      "x2": 183.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001636"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001041.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 188.0,
      "x2": 174.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001637"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001041.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 188.0,
      "x2": 174.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001637"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001044.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 180.0,
      "x2": 282.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001638"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001044.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 180.0,
      "x2": 282.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001638"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001046.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 185.0,
      "x2": 435.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001639"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001046.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 185.0,
      "x2": 435.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001639"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001047.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 185.0,
      "x2": 514.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001640"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001047.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 185.0,
      "x2": 514.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001640"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001053.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 352.0,
      "y1": 185.5,
      "x2": 432.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001641"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001053.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 352.0,
      "y1": 185.5,
      "x2": 432.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001641"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001054.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 167.0,
      "x2": 457.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001642"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001054.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 167.0,
      "x2": 457.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001642"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001055.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 192.5,
      "x2": 518.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001643"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001055.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.5,
      "y1": 192.5,
      "x2": 518.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001643"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001056.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 199.5,
      "x2": 637.5,
      "y2": 285.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001644"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001056.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 199.5,
      "x2": 637.5,
      "y2": 285.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001644"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001057.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 193.0,
      "x2": 376.0,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001645"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001057.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 193.0,
      "x2": 376.0,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001645"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001058.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 172.5,
      "x2": 344.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001646"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001058.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 172.5,
      "x2": 344.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001646"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001059.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 188.5,
      "x2": 318.5,
      "y2": 298.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001647"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001059.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 188.5,
      "x2": 318.5,
      "y2": 298.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001647"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001062.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 190.0,
      "x2": 311.5,
      "y2": 299.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001648"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001062.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 190.0,
      "x2": 311.5,
      "y2": 299.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001648"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001064.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 194.5,
      "x2": 378.0,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001649"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001064.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.5,
      "y1": 194.5,
      "x2": 378.0,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001649"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001067.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 190.0,
      "x2": 491.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001650"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001067.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 190.0,
      "x2": 491.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001650"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001068.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 175.5,
      "x2": 538.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001651"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001068.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 175.5,
      "x2": 538.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001651"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001069.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 203.0,
      "x2": 636.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001652"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001069.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 203.0,
      "x2": 636.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001652"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001071.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 187.0,
      "x2": 636.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001653"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001071.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 187.0,
      "x2": 636.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001653"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001073.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 162.0,
      "x2": 390.0,
      "y2": 202.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001654"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001073.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 162.0,
      "x2": 390.0,
      "y2": 202.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001654"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001075.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 196.0,
      "x2": 503.0,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001655"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001075.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 196.0,
      "x2": 503.0,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001655"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001077.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 186.5,
      "x2": 205.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001656"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001077.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 186.5,
      "x2": 205.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001656"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001084.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 188.5,
      "x2": 452.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001657"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001084.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 188.5,
      "x2": 452.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001657"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001086.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001658"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001086.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001658"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001087.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 91.5,
      "y1": 186.5,
      "x2": 164.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001659"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001087.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 91.5,
      "y1": 186.5,
      "x2": 164.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001659"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001090.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 75.5,
      "y2": 372.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001660"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001090.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 75.5,
      "y2": 372.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001660"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001092.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 184.0,
      "x2": 304.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001661"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001092.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 184.0,
      "x2": 304.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001661"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001094.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 359.5,
      "y1": 189.5,
      "x2": 470.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001662"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001094.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 359.5,
      "y1": 189.5,
      "x2": 470.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001662"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001095.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 193.0,
      "x2": 573.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001663"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001095.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 193.0,
      "x2": 573.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001663"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001097.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 177.5,
      "x2": 97.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001664"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001097.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 177.5,
      "x2": 97.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001664"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001098.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 179.5,
      "x2": 84.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001665"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001098.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 179.5,
      "x2": 84.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001665"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001099.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.5,
      "x2": 68.5,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001666"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001099.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.5,
      "x2": 68.5,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001666"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001103.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 262.0,
      "y1": 193.5,
      "x2": 341.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001667"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001103.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 262.0,
      "y1": 193.5,
      "x2": 341.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001667"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001104.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 289.5,
      "y1": 193.0,
      "x2": 392.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001668"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001104.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 289.5,
      "y1": 193.0,
      "x2": 392.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001668"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001106.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 204.5,
      "x2": 600.0,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001669"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001106.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 204.5,
      "x2": 600.0,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001669"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001107.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 180.0,
      "x2": 320.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001670"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001107.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 180.0,
      "x2": 320.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001670"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001109.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 197.5,
      "x2": 132.0,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001671"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001109.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 197.5,
      "x2": 132.0,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001671"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001114.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 192.5,
      "x2": 127.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001672"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001114.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 192.5,
      "x2": 127.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001672"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001117.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.5,
      "x2": 167.0,
      "y2": 339.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001673"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001117.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.5,
      "x2": 167.0,
      "y2": 339.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001673"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001118.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 188.5,
      "x2": 168.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001674"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001118.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.5,
      "y1": 188.5,
      "x2": 168.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001674"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001121.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 198.5,
      "x2": 234.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001675"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001121.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 198.5,
      "x2": 234.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001675"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001123.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 200.5,
      "x2": 196.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001676"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001123.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 200.5,
      "x2": 196.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001676"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001125.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 71.5,
      "y1": 210.0,
      "x2": 201.5,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001677"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001125.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 71.5,
      "y1": 210.0,
      "x2": 201.5,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001677"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001127.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 193.5,
      "x2": 225.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001678"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001127.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 193.5,
      "x2": 225.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001678"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001129.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 102.0,
      "y1": 201.0,
      "x2": 196.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001679"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001129.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 102.0,
      "y1": 201.0,
      "x2": 196.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001679"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001131.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 199.5,
      "x2": 623.0,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001680"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001131.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 199.5,
      "x2": 623.0,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001680"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001134.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 195.0,
      "x2": 390.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001681"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001134.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 195.0,
      "x2": 390.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001681"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001136.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 197.5,
      "x2": 313.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001682"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001136.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 197.5,
      "x2": 313.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001682"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001137.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 193.0,
      "x2": 308.5,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001683"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001137.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 193.0,
      "x2": 308.5,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001683"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001138.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 192.0,
      "x2": 376.5,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001684"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001138.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 192.0,
      "x2": 376.5,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001684"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001140.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 192.0,
      "x2": 420.0,
      "y2": 299.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001685"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001140.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 192.0,
      "x2": 420.0,
      "y2": 299.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001685"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001141.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 193.5,
      "x2": 408.0,
      "y2": 312.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001686"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001141.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 193.5,
      "x2": 408.0,
      "y2": 312.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001686"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001142.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 194.5,
      "x2": 408.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001687"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001142.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 194.5,
      "x2": 408.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001687"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001143.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 332.5,
      "y1": 183.0,
      "x2": 383.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001688"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001143.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 332.5,
      "y1": 183.0,
      "x2": 383.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001688"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001144.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 180.5,
      "x2": 435.0,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001689"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001144.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 180.5,
      "x2": 435.0,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001689"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001145.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 179.0,
      "x2": 552.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001690"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001145.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 179.0,
      "x2": 552.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001690"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001148.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 565.0,
      "y1": 186.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001691"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001148.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 565.0,
      "y1": 186.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001691"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001149.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 194.0,
      "x2": 639.5,
      "y2": 337.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001692"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001149.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 194.0,
      "x2": 639.5,
      "y2": 337.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001692"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001151.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 192.5,
      "x2": 543.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001693"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001151.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 192.5,
      "x2": 543.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001693"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001153.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.5,
      "x2": 169.5,
      "y2": 318.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001694"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001153.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.5,
      "x2": 169.5,
      "y2": 318.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001694"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001154.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 195.0,
      "x2": 420.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001695"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001154.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 195.0,
      "x2": 420.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001695"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001156.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 198.5,
      "x2": 563.0,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001696"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001156.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 198.5,
      "x2": 563.0,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001696"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001161.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 189.5,
      "x2": 452.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001697"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001161.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 189.5,
      "x2": 452.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001697"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001165.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 195.0,
      "x2": 399.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001698"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001165.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 343.0,
      "y1": 195.0,
      "x2": 399.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001698"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001167.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 202.0,
      "x2": 527.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001699"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001167.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 202.0,
      "x2": 527.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001699"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001168.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 193.0,
      "x2": 504.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001700"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001168.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 193.0,
      "x2": 504.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001700"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001173.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 240.5,
      "y1": 180.5,
      "x2": 324.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001701"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001173.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 240.5,
      "y1": 180.5,
      "x2": 324.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001701"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001174.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 191.5,
      "y1": 174.0,
      "x2": 297.5,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001702"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001174.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 191.5,
      "y1": 174.0,
      "x2": 297.5,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001702"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001175.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 173.5,
      "x2": 270.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001703"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001175.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 173.5,
      "x2": 270.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001703"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001180.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 178.5,
      "x2": 315.5,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001704"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001180.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 178.5,
      "x2": 315.5,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001704"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001182.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 170.0,
      "x2": 167.5,
      "y2": 397.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001705"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001182.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 170.0,
      "x2": 167.5,
      "y2": 397.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001705"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001185.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 208.0,
      "x2": 193.5,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001706"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001185.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 208.0,
      "x2": 193.5,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001706"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001187.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 28.5,
      "y1": 204.0,
      "x2": 136.5,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001707"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001187.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 28.5,
      "y1": 204.0,
      "x2": 136.5,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001707"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001188.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 183.5,
      "x2": 112.5,
      "y2": 303.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001708"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001188.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 183.5,
      "x2": 112.5,
      "y2": 303.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001708"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001192.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 521.5,
      "y1": 196.5,
      "x2": 617.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001709"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001192.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 521.5,
      "y1": 196.5,
      "x2": 617.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001709"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001194.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 172.5,
      "x2": 531.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001710"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001194.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 172.5,
      "x2": 531.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001710"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001198.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 197.0,
      "x2": 289.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001711"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001198.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 197.0,
      "x2": 289.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001711"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001200.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 183.5,
      "x2": 639.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001712"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001200.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 183.5,
      "x2": 639.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001712"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001202.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 201.5,
      "x2": 561.0,
      "y2": 293.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001713"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001202.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 201.5,
      "x2": 561.0,
      "y2": 293.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001713"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001204.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001714"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001204.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001714"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001206.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 565.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001715"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001206.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 565.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001715"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001211.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 206.0,
      "x2": 253.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001716"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001211.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 206.0,
      "x2": 253.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001716"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001213.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 205.0,
      "x2": 244.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001717"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001213.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 205.0,
      "x2": 244.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001717"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001215.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001718"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001215.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001718"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001216.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 206.0,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001719"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001216.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 206.0,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001719"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001219.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001720"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001219.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001720"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001220.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001721"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001220.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001721"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001221.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 299.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001722"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001221.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 299.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001722"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001223.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001723"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001223.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 308.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001723"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001224.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001724"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001224.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001724"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001226.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001725"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001226.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001725"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001229.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001726"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001229.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001726"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001230.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001727"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001230.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001727"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001231.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 176.0,
      "x2": 233.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001728"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001231.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 176.0,
      "x2": 233.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001728"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001234.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 173.5,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001729"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001234.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 173.5,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001729"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001237.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.5,
      "x2": 221.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001730"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001237.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.5,
      "x2": 221.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001730"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001243.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 194.5,
      "x2": 498.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001731"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001243.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 194.5,
      "x2": 498.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001731"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001246.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 500.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001732"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001246.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 500.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001732"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001247.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 194.5,
      "x2": 500.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001733"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001247.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 194.5,
      "x2": 500.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001733"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001248.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.5,
      "x2": 501.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001734"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001248.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.5,
      "x2": 501.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001734"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001249.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.5,
      "x2": 500.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001735"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001249.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.5,
      "x2": 500.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001735"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001250.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001736"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001250.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001736"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001251.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 197.5,
      "x2": 414.0,
      "y2": 351.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001737"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001251.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 197.5,
      "x2": 414.0,
      "y2": 351.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001737"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001252.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 197.5,
      "x2": 426.0,
      "y2": 370.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001738"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001252.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 197.5,
      "x2": 426.0,
      "y2": 370.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001738"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001256.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 199.0,
      "x2": 424.5,
      "y2": 380.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001739"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001256.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 199.0,
      "x2": 424.5,
      "y2": 380.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001739"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001259.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.5,
      "x2": 425.0,
      "y2": 380.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001740"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001259.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.5,
      "x2": 425.0,
      "y2": 380.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001740"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001260.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 199.0,
      "x2": 425.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001741"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001260.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 199.0,
      "x2": 425.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001741"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001261.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 173.0,
      "x2": 298.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001742"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001261.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 173.0,
      "x2": 298.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001742"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001262.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 171.5,
      "x2": 296.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001743"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001262.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 171.5,
      "x2": 296.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001743"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001267.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 171.5,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001744"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001267.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 171.5,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001744"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001269.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 172.5,
      "x2": 293.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001745"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001269.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 172.5,
      "x2": 293.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001745"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001272.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001746"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001272.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001746"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001276.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001747"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001276.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001747"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001281.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 198.5,
      "x2": 432.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001748"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001281.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 198.5,
      "x2": 432.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001748"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001282.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 199.0,
      "x2": 430.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001749"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001282.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 199.0,
      "x2": 430.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001749"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001287.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001750"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001287.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001750"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001299.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 245.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001751"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001299.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 245.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001751"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001300.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 206.5,
      "x2": 245.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001752"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001300.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 206.5,
      "x2": 245.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001752"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001302.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 191.0,
      "x2": 501.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001753"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001302.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 191.0,
      "x2": 501.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001753"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001303.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001754"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001303.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001754"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001304.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 192.0,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001755"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001304.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 192.0,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001755"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001306.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001756"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001306.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001756"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001307.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 501.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001757"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001307.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 501.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001757"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001308.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001758"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001308.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001758"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001313.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 221.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001759"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001313.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 221.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001759"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001315.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.5,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001760"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001315.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.5,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001760"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001316.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 13.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001761"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001316.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 13.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001761"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001317.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001762"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001317.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001762"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001319.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 172.5,
      "x2": 234.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001763"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001319.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 172.5,
      "x2": 234.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001763"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001323.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 173.5,
      "x2": 293.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001764"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001323.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 173.5,
      "x2": 293.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001764"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001327.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 172.5,
      "x2": 294.0,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001765"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001327.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 172.5,
      "x2": 294.0,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001765"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001328.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 172.5,
      "x2": 295.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001766"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001328.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 172.5,
      "x2": 295.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001766"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001330.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 173.0,
      "x2": 293.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001767"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001330.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 173.0,
      "x2": 293.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001767"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001331.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001768"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001331.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001768"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001332.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001769"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001332.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001769"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001333.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001770"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001333.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001770"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001334.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001771"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001334.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001771"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001335.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001772"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001335.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001772"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001337.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001773"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001337.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001773"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001338.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001774"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001338.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001774"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001339.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001775"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001339.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001775"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001343.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 441.5,
      "y1": 201.5,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001776"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001343.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 441.5,
      "y1": 201.5,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001776"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001344.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001777"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001344.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001777"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001346.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 565.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001778"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001346.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 565.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001778"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001348.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001779"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001348.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001779"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001349.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.5,
      "x2": 537.0,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001780"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001349.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.5,
      "x2": 537.0,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001780"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001356.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001781"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001356.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001781"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001357.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001782"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001357.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001782"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001358.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001783"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001358.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001783"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001359.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001784"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001359.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001784"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001360.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001785"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001360.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001785"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001361.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001786"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001361.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001786"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001363.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001787"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001363.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001787"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001364.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.5,
      "x2": 245.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001788"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001364.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.5,
      "x2": 245.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001788"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001369.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001789"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001369.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001789"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001370.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001790"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001370.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001790"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001374.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 198.0,
      "x2": 423.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001791"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001374.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 198.0,
      "x2": 423.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001791"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001375.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.0,
      "x2": 428.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001792"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001375.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.0,
      "x2": 428.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001792"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001376.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.0,
      "x2": 426.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001793"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001376.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.0,
      "x2": 426.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001793"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001377.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.5,
      "x2": 426.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001794"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001377.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.5,
      "x2": 426.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001794"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001379.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 198.5,
      "x2": 424.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001795"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001379.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 198.5,
      "x2": 424.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001795"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001380.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 197.0,
      "x2": 427.0,
      "y2": 372.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001796"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001380.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 197.0,
      "x2": 427.0,
      "y2": 372.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001796"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001381.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 173.0,
      "x2": 220.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001797"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001381.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 173.0,
      "x2": 220.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001797"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001383.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001798"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001383.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001798"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001386.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 172.5,
      "x2": 223.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001799"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001386.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 10.0,
      "y1": 172.5,
      "x2": 223.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001799"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001387.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001800"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001387.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001800"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001390.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001801"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001390.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001801"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001391.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 499.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001802"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001391.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 499.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001802"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001392.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 190.5,
      "x2": 500.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001803"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001392.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 190.5,
      "x2": 500.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001803"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001393.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001804"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001393.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001804"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001397.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 499.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001805"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001397.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 499.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001805"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001398.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 502.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001806"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001398.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 502.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001806"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001400.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 192.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001807"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001400.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 192.5,
      "x2": 501.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001807"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001402.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 173.0,
      "x2": 295.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001808"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001402.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 173.0,
      "x2": 295.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001808"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001406.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001809"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001406.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001809"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001407.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 171.5,
      "x2": 295.0,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001810"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001407.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 171.5,
      "x2": 295.0,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001810"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001408.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001811"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001408.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001811"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001410.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001812"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001410.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001812"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001412.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 171.0,
      "x2": 293.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001813"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001412.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 171.0,
      "x2": 293.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001813"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001414.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 173.0,
      "x2": 292.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001814"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001414.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 173.0,
      "x2": 292.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001814"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001417.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 195.5,
      "y1": 173.5,
      "x2": 288.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001815"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001417.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.5,
      "y1": 173.5,
      "x2": 288.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001815"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001418.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 173.5,
      "x2": 289.0,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001816"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001418.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 192.5,
      "y1": 173.5,
      "x2": 289.0,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001816"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001420.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 173.0,
      "x2": 287.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001817"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001420.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.5,
      "y1": 173.0,
      "x2": 287.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001817"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001421.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 205.5,
      "x2": 247.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001818"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001421.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 205.5,
      "x2": 247.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001818"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001423.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 205.5,
      "x2": 244.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001819"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001423.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 205.5,
      "x2": 244.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001819"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001425.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 206.5,
      "x2": 245.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001820"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001425.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 206.5,
      "x2": 245.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001820"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001427.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 121.0,
      "y1": 207.0,
      "x2": 237.0,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001821"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001427.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 121.0,
      "y1": 207.0,
      "x2": 237.0,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001821"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001428.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 118.5,
      "y1": 206.5,
      "x2": 233.5,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001822"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001428.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 118.5,
      "y1": 206.5,
      "x2": 233.5,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001822"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001429.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001823"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001429.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001823"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001431.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 563.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001824"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001431.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 563.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001824"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001432.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 201.5,
      "x2": 565.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001825"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001432.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 201.5,
      "x2": 565.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001825"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001433.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001826"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001433.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001826"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001434.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 203.5,
      "x2": 564.0,
      "y2": 298.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001827"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001434.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 203.5,
      "x2": 564.0,
      "y2": 298.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001827"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001435.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 203.5,
      "x2": 569.0,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001828"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001435.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 203.5,
      "x2": 569.0,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001828"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001438.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 203.5,
      "x2": 594.0,
      "y2": 313.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001829"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001438.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 203.5,
      "x2": 594.0,
      "y2": 313.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001829"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001440.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 204.0,
      "x2": 594.5,
      "y2": 313.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001830"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001440.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 204.0,
      "x2": 594.5,
      "y2": 313.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001830"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001441.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001831"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001441.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001831"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001443.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001832"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001443.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001832"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001444.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001833"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001444.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001833"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001445.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 311.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001834"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001445.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 311.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001834"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001446.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001835"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001446.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001835"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001448.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001836"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001448.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001836"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001450.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001837"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001450.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001837"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001451.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.5,
      "x2": 502.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001838"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001451.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.5,
      "x2": 502.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001838"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001453.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 192.5,
      "x2": 500.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001839"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001453.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 192.5,
      "x2": 500.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001839"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001456.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.5,
      "x2": 506.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001840"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001456.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.5,
      "x2": 506.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001840"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001458.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 192.0,
      "x2": 513.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001841"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001458.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 192.0,
      "x2": 513.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001841"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001460.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 195.5,
      "x2": 503.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001842"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001460.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 195.5,
      "x2": 503.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001842"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001465.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 256.0,
      "y1": 197.0,
      "x2": 404.5,
      "y2": 335.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001843"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001465.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 256.0,
      "y1": 197.0,
      "x2": 404.5,
      "y2": 335.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001843"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001470.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 197.0,
      "x2": 419.5,
      "y2": 368.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001844"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001470.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 197.0,
      "x2": 419.5,
      "y2": 368.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001844"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001471.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 235.5,
      "y1": 197.0,
      "x2": 420.5,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001845"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001471.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.5,
      "y1": 197.0,
      "x2": 420.5,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001845"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001474.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001846"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001474.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001846"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001477.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.5,
      "x2": 214.0,
      "y2": 335.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001847"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001477.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.5,
      "x2": 214.0,
      "y2": 335.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001847"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001479.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 207.0,
      "y2": 347.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001848"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001479.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 207.0,
      "y2": 347.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001848"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001480.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 203.0,
      "y2": 347.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001849"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001480.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 203.0,
      "y2": 347.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001849"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001481.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 203.5,
      "y2": 347.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001850"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001481.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 203.5,
      "y2": 347.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001850"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001482.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 193.5,
      "x2": 448.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001851"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001482.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 193.5,
      "x2": 448.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001851"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001483.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 173.0,
      "x2": 287.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001852"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001483.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 173.0,
      "x2": 287.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001852"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001487.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 178.0,
      "x2": 282.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001853"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001487.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 178.0,
      "x2": 282.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001853"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001488.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 174.0,
      "x2": 275.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001854"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001488.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 174.0,
      "x2": 275.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001854"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001489.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 111.0,
      "y1": 167.0,
      "x2": 260.5,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001855"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001489.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.0,
      "y1": 167.0,
      "x2": 260.5,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001855"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001496.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 206.5,
      "x2": 233.0,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001856"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001496.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 206.5,
      "x2": 233.0,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001856"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001497.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001857"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001497.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001857"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001499.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 112.0,
      "y1": 209.5,
      "x2": 232.5,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001858"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001499.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 112.0,
      "y1": 209.5,
      "x2": 232.5,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001858"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001501.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 214.0,
      "x2": 203.0,
      "y2": 320.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001859"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001501.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 46.5,
      "y1": 214.0,
      "x2": 203.0,
      "y2": 320.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001859"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001502.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 164.0,
      "y2": 371.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001860"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001502.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 164.0,
      "y2": 371.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001860"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001503.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 196.0,
      "x2": 424.5,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001861"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001503.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 196.0,
      "x2": 424.5,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001861"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001504.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 196.5,
      "x2": 424.0,
      "y2": 360.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001862"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001504.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 196.5,
      "x2": 424.0,
      "y2": 360.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001862"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001507.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 199.5,
      "x2": 393.0,
      "y2": 303.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001863"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001507.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 199.5,
      "x2": 393.0,
      "y2": 303.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001863"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001508.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.5,
      "x2": 393.0,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001864"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001508.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.5,
      "x2": 393.0,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001864"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001509.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 195.0,
      "x2": 394.0,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001865"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001509.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 195.0,
      "x2": 394.0,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001865"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001511.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 193.5,
      "x2": 394.0,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001866"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001511.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 193.5,
      "x2": 394.0,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001866"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001512.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 198.5,
      "x2": 370.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001867"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001512.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 237.5,
      "y1": 198.5,
      "x2": 370.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001867"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001513.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 204.5,
      "y2": 348.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001868"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001513.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.5,
      "x2": 204.5,
      "y2": 348.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001868"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001515.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 204.0,
      "y2": 347.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001869"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001515.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 204.0,
      "y2": 347.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001869"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001517.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 176.5,
      "x2": 187.5,
      "y2": 385.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001870"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001517.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 176.5,
      "x2": 187.5,
      "y2": 385.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001870"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001518.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.5,
      "x2": 152.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001871"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001518.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.5,
      "x2": 152.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001871"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001519.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 195.5,
      "x2": 484.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001872"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001519.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 402.5,
      "y1": 195.5,
      "x2": 484.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001872"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001521.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.5,
      "x2": 556.0,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001873"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001521.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.5,
      "x2": 556.0,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001873"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001522.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 198.5,
      "x2": 512.0,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001874"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001522.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 198.5,
      "x2": 512.0,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001874"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001526.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 229.0,
      "y1": 198.5,
      "x2": 280.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001875"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001526.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.0,
      "y1": 198.5,
      "x2": 280.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001875"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001527.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 186.0,
      "x2": 298.0,
      "y2": 206.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001876"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001527.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 186.0,
      "x2": 298.0,
      "y2": 206.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001876"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001528.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.0,
      "x2": 20.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001877"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001528.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.0,
      "x2": 20.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001877"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001529.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 203.5,
      "x2": 181.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001878"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001529.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 39.5,
      "y1": 203.5,
      "x2": 181.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001878"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001530.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 210.5,
      "x2": 452.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001879"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001530.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.5,
      "y1": 210.5,
      "x2": 452.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001879"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001531.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 187.5,
      "x2": 33.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001880"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001531.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 187.5,
      "x2": 33.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001880"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001532.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 176.5,
      "x2": 250.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001881"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001532.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 176.5,
      "x2": 250.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001881"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001533.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 192.5,
      "x2": 550.0,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001882"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001533.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 192.5,
      "x2": 550.0,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001882"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001544.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 37.5,
      "y2": 293.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001883"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001544.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 186.0,
      "x2": 37.5,
      "y2": 293.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001883"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001545.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.0,
      "x2": 56.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001884"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001545.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.0,
      "x2": 56.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001884"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001546.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 202.5,
      "x2": 164.5,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001885"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001546.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 202.5,
      "x2": 164.5,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001885"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001549.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 105.0,
      "y1": 209.0,
      "x2": 216.0,
      "y2": 281.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001886"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001549.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 105.0,
      "y1": 209.0,
      "x2": 216.0,
      "y2": 281.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001886"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001550.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 169.5,
      "y1": 191.5,
      "x2": 226.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001887"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001550.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 169.5,
      "y1": 191.5,
      "x2": 226.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001887"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001551.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 158.0,
      "y1": 198.5,
      "x2": 242.5,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001888"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001551.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 158.0,
      "y1": 198.5,
      "x2": 242.5,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001888"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001553.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 191.5,
      "x2": 267.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001889"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001553.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 216.0,
      "y1": 191.5,
      "x2": 267.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001889"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001554.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 198.5,
      "x2": 267.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001890"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001554.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 198.5,
      "x2": 267.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001890"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001558.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 193.0,
      "x2": 548.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001891"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001558.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 193.0,
      "x2": 548.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001891"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001559.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 195.0,
      "x2": 260.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001892"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001559.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 200.5,
      "y1": 195.0,
      "x2": 260.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001892"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001560.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 149.5,
      "y1": 202.5,
      "x2": 236.5,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001893"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001560.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 149.5,
      "y1": 202.5,
      "x2": 236.5,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001893"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001563.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 7.0,
      "y1": 202.0,
      "x2": 183.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001894"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001563.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 7.0,
      "y1": 202.0,
      "x2": 183.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001894"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001564.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 191.5,
      "y1": 194.0,
      "x2": 254.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001895"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001564.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 191.5,
      "y1": 194.0,
      "x2": 254.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001895"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001567.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 188.0,
      "x2": 535.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001896"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001567.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 188.0,
      "x2": 535.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001896"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001569.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 164.0,
      "x2": 639.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001897"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001569.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 164.0,
      "x2": 639.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001897"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001571.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 194.5,
      "x2": 618.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001898"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001571.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 194.5,
      "x2": 618.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001898"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001572.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 196.5,
      "x2": 531.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001899"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001572.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 196.5,
      "x2": 531.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001899"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001573.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 203.0,
      "x2": 601.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001900"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001573.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 203.0,
      "x2": 601.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001900"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001577.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 190.0,
      "x2": 534.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001901"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001577.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 190.0,
      "x2": 534.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001901"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001578.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 193.5,
      "x2": 637.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001902"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001578.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 193.5,
      "x2": 637.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001902"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001579.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001903"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001579.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001903"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001581.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 201.5,
      "x2": 553.0,
      "y2": 300.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001904"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001581.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 201.5,
      "x2": 553.0,
      "y2": 300.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001904"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001582.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 192.5,
      "x2": 494.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001905"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001582.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 192.5,
      "x2": 494.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001905"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001583.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 196.0,
      "x2": 486.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001906"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001583.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 196.0,
      "x2": 486.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001906"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001587.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 191.5,
      "x2": 628.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001907"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001587.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.0,
      "y1": 191.5,
      "x2": 628.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001907"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001591.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 200.5,
      "x2": 588.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001908"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001591.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 200.5,
      "x2": 588.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001908"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001592.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 361.0,
      "y1": 170.0,
      "x2": 424.5,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001909"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001592.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 361.0,
      "y1": 170.0,
      "x2": 424.5,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001909"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001595.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 156.5,
      "x2": 303.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001910"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001595.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 156.5,
      "x2": 303.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001910"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001596.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 150.0,
      "x2": 250.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001911"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001596.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 150.0,
      "x2": 250.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001911"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001597.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 134.5,
      "x2": 177.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001912"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001597.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 134.5,
      "x2": 177.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001912"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001601.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 9.5,
      "y1": 175.0,
      "x2": 59.5,
      "y2": 203.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001913"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001601.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 9.5,
      "y1": 175.0,
      "x2": 59.5,
      "y2": 203.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001913"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001606.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 177.0,
      "x2": 522.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001914"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001606.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 177.0,
      "x2": 522.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001914"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001610.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 159.0,
      "x2": 248.5,
      "y2": 195.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001915"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001610.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 159.0,
      "x2": 248.5,
      "y2": 195.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001915"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001611.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 163.0,
      "x2": 245.5,
      "y2": 201.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001916"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001611.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 163.0,
      "x2": 245.5,
      "y2": 201.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001916"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001612.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 170.0,
      "x2": 244.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001917"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001612.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 170.0,
      "x2": 244.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001917"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001613.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 171.5,
      "x2": 243.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001918"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001613.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 171.5,
      "x2": 243.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001918"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001615.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 183.0,
      "y1": 171.5,
      "x2": 243.5,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001919"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001615.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 183.0,
      "y1": 171.5,
      "x2": 243.5,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001919"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001620.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 173.0,
      "x2": 245.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001920"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001620.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 173.0,
      "x2": 245.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001920"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001621.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 182.5,
      "y1": 173.0,
      "x2": 246.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001921"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001621.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 182.5,
      "y1": 173.0,
      "x2": 246.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001921"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001625.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 90.5,
      "x2": 639.5,
      "y2": 386.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001922"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001625.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 90.5,
      "x2": 639.5,
      "y2": 386.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001922"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001626.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 114.5,
      "x2": 622.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001923"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001626.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 114.5,
      "x2": 622.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001923"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001627.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 127.0,
      "x2": 577.5,
      "y2": 298.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001924"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001627.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 127.0,
      "x2": 577.5,
      "y2": 298.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001924"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001629.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 138.0,
      "x2": 532.0,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001925"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001629.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 138.0,
      "x2": 532.0,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001925"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001633.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 160.0,
      "x2": 444.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001926"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001633.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 160.0,
      "x2": 444.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001926"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001634.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 181.0,
      "x2": 232.0,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001927"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001634.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 181.0,
      "x2": 232.0,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001927"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001637.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 180.0,
      "x2": 177.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001928"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001637.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 180.0,
      "x2": 177.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001928"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001639.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 520.0,
      "y1": 178.5,
      "x2": 621.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001929"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001639.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 520.0,
      "y1": 178.5,
      "x2": 621.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001929"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001644.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 387.5,
      "y1": 165.0,
      "x2": 435.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001930"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001644.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.5,
      "y1": 165.0,
      "x2": 435.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001930"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001645.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 188.5,
      "x2": 639.5,
      "y2": 298.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001931"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001645.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 188.5,
      "x2": 639.5,
      "y2": 298.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001931"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001647.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 199.0,
      "x2": 623.0,
      "y2": 317.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001932"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001647.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 199.0,
      "x2": 623.0,
      "y2": 317.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001932"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001648.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 403.0,
      "y1": 193.5,
      "x2": 458.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001933"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001648.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.0,
      "y1": 193.5,
      "x2": 458.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001933"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001649.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 236.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001934"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001649.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 236.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001934"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001650.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 210.0,
      "x2": 557.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001935"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001650.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 210.0,
      "x2": 557.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001935"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001651.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 203.5,
      "x2": 464.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001936"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001651.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 203.5,
      "x2": 464.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001936"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001653.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001937"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001653.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001937"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001655.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 412.0,
      "y1": 196.0,
      "x2": 474.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001938"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001655.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 412.0,
      "y1": 196.0,
      "x2": 474.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001938"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001656.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 531.5,
      "y1": 231.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001939"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001656.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 531.5,
      "y1": 231.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001939"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001657.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 200.5,
      "x2": 507.0,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001940"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001657.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 393.0,
      "y1": 200.5,
      "x2": 507.0,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001940"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001659.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 193.0,
      "x2": 396.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001941"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001659.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 193.0,
      "x2": 396.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001941"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001661.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 204.0,
      "x2": 621.0,
      "y2": 357.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001942"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001661.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.5,
      "y1": 204.0,
      "x2": 621.0,
      "y2": 357.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001942"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001662.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 198.0,
      "x2": 469.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001943"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001662.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 198.0,
      "x2": 469.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001943"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001663.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 193.0,
      "x2": 411.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001944"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001663.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 193.0,
      "x2": 411.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001944"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001665.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 327.5,
      "y1": 192.5,
      "x2": 379.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001945"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001665.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 327.5,
      "y1": 192.5,
      "x2": 379.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001945"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001666.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 237.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001946"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001666.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 237.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001946"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001668.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001947"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001668.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001947"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001670.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 197.0,
      "x2": 533.5,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001948"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001670.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 197.0,
      "x2": 533.5,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001948"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001671.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 194.0,
      "x2": 455.0,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001949"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001671.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 194.0,
      "x2": 455.0,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001949"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001673.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 580.5,
      "y1": 232.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001950"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001673.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 580.5,
      "y1": 232.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001950"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001678.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 203.5,
      "x2": 512.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001951"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001678.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 203.5,
      "x2": 512.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001951"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001681.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 403.0,
      "y1": 197.5,
      "x2": 456.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001952"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001681.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.0,
      "y1": 197.5,
      "x2": 456.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001952"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001682.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 396.0,
      "y1": 197.0,
      "x2": 449.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001953"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001682.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 396.0,
      "y1": 197.0,
      "x2": 449.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001953"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001683.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 196.5,
      "x2": 446.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001954"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001683.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 196.5,
      "x2": 446.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001954"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001686.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 331.0,
      "y1": 190.5,
      "x2": 401.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001955"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001686.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 331.0,
      "y1": 190.5,
      "x2": 401.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001955"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001687.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001956"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001687.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001956"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001690.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 401.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001957"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001690.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 401.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001957"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001691.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001958"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001691.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.0,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001958"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001692.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001959"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001692.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001959"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001695.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001960"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001695.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001960"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001696.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001961"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001696.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001961"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001702.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001962"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001702.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 515.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001962"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001706.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 320.5,
      "y1": 190.5,
      "x2": 384.5,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001963"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001706.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 320.5,
      "y1": 190.5,
      "x2": 384.5,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001963"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001707.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 193.5,
      "x2": 395.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001964"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001707.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 193.5,
      "x2": 395.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001964"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001708.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 194.0,
      "x2": 412.0,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001965"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001708.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 194.0,
      "x2": 412.0,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001965"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001709.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 191.5,
      "x2": 367.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001966"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001709.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 191.5,
      "x2": 367.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001966"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001716.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.0,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001967"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001716.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.0,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001967"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001718.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.0,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001968"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001718.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.0,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001968"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001719.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001969"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001719.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001969"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001721.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 455.0,
      "y2": 330.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001970"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001721.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 455.0,
      "y2": 330.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001970"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001722.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 196.0,
      "x2": 475.5,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001971"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001722.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 196.0,
      "x2": 475.5,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001971"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001727.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.0,
      "x2": 483.5,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001972"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001727.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.0,
      "x2": 483.5,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001972"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001728.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.0,
      "x2": 486.5,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001973"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001728.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.0,
      "x2": 486.5,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001973"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001729.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 368.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001974"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001729.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 368.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001974"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001731.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 183.0,
      "x2": 463.5,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001975"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001731.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 183.0,
      "x2": 463.5,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001975"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001733.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 583.0,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001976"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001733.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 583.0,
      "y1": 190.0,
      "x2": 639.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001976"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001734.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 188.5,
      "x2": 599.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001977"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001734.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 188.5,
      "x2": 599.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001977"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001737.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 180.0,
      "x2": 276.0,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001978"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001737.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 180.0,
      "x2": 276.0,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001978"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001738.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 177.0,
      "x2": 160.5,
      "y2": 205.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001979"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001738.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 177.0,
      "x2": 160.5,
      "y2": 205.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001979"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001740.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 191.5,
      "x2": 584.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001980"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001740.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 191.5,
      "x2": 584.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001980"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001741.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 191.0,
      "x2": 563.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001981"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001741.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 191.0,
      "x2": 563.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001981"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001742.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 101.0,
      "y1": 183.0,
      "x2": 197.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001982"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001742.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 101.0,
      "y1": 183.0,
      "x2": 197.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001982"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001743.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.0,
      "x2": 489.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001983"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001743.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.0,
      "x2": 489.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001983"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001744.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.5,
      "x2": 112.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001984"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001744.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.5,
      "x2": 112.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001984"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001748.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.0,
      "x2": 402.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001985"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001748.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.0,
      "x2": 402.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001985"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001750.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001986"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001750.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001986"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001751.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001987"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001751.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001987"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001752.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001988"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001752.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001988"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001753.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001989"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001753.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001989"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001754.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001990"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001754.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001990"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001755.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 195.0,
      "x2": 401.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001991"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001755.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 195.0,
      "x2": 401.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001991"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001759.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.5,
      "x2": 483.0,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001992"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001759.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.5,
      "x2": 483.0,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001992"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001760.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001993"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001760.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001993"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001761.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 486.0,
      "y2": 368.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001994"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001761.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 486.0,
      "y2": 368.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001994"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001762.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001995"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001762.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001762.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001995"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001765.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001996"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001765.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001996"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001767.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 190.0,
      "x2": 505.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001997"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001767.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 190.0,
      "x2": 505.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001997"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001768.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 187.5,
      "x2": 470.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001998"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001768.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001768.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 187.5,
      "x2": 470.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001998"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001772.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 75.0,
      "y2": 202.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:001999"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001772.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001772.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 75.0,
      "y2": 202.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:001999"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001774.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002000"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001774.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002000"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001776.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 177.0,
      "x2": 232.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002001"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001776.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 177.0,
      "x2": 232.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002001"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001777.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 177.0,
      "x2": 257.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002002"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001777.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001777.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 177.0,
      "x2": 257.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002002"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001779.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 177.0,
      "x2": 279.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002003"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001779.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.0,
      "y1": 177.0,
      "x2": 279.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002003"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001780.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 177.0,
      "x2": 290.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002004"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001780.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 177.0,
      "x2": 290.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002004"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001783.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 191.5,
      "x2": 547.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002005"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001783.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 191.5,
      "x2": 547.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002005"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001785.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 177.0,
      "x2": 630.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002006"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001785.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001785.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 177.0,
      "x2": 630.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002006"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001787.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 170.0,
      "x2": 469.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002007"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001787.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 170.0,
      "x2": 469.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002007"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001788.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 168.0,
      "x2": 381.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002008"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001788.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001788.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 267.5,
      "y1": 168.0,
      "x2": 381.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002008"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001794.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002009"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001794.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001794.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002009"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001799.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 197.5,
      "x2": 486.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002010"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001799.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001799.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 197.5,
      "x2": 486.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002010"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001801.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002011"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001801.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002011"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001802.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 484.0,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002012"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001802.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001802.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 484.0,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002012"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001804.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002013"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001804.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001804.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002013"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001806.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 198.0,
      "x2": 486.0,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002014"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001806.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 198.0,
      "x2": 486.0,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002014"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001808.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002015"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001808.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001808.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002015"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001810.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 7.0,
      "y1": 162.5,
      "x2": 103.0,
      "y2": 203.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002016"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001810.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 7.0,
      "y1": 162.5,
      "x2": 103.0,
      "y2": 203.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002016"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001812.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 177.5,
      "x2": 315.0,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002017"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001812.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001812.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 177.5,
      "x2": 315.0,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002017"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001814.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 178.0,
      "x2": 316.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002018"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001814.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 178.0,
      "x2": 316.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002018"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001816.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 177.0,
      "x2": 308.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002019"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001816.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001816.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 177.0,
      "x2": 308.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002019"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001817.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 176.5,
      "x2": 316.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002020"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001817.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001817.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 176.5,
      "x2": 316.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002020"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001818.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 176.5,
      "x2": 325.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002021"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001818.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 176.5,
      "x2": 325.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002021"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001819.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 196.0,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002022"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001819.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 196.0,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002022"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001821.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002023"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001821.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001821.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002023"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001824.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002024"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001824.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002024"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001825.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002025"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001825.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002025"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001827.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002026"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001827.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002026"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001828.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002027"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001828.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002027"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001830.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002028"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001830.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002028"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001831.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002029"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001831.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001831.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002029"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001834.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002030"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001834.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001834.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002030"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001835.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002031"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001835.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001835.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002031"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001838.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.5,
      "x2": 602.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002032"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001838.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.5,
      "x2": 602.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002032"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001839.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 182.0,
      "x2": 414.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002033"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001839.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 182.0,
      "x2": 414.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002033"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001845.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 236.0,
      "y1": 187.0,
      "x2": 338.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002034"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001845.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 236.0,
      "y1": 187.0,
      "x2": 338.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002034"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001847.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 185.0,
      "x2": 486.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002035"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001847.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001847.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 185.0,
      "x2": 486.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002035"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001849.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 109.0,
      "y1": 184.5,
      "x2": 206.5,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002036"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001849.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 109.0,
      "y1": 184.5,
      "x2": 206.5,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002036"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001850.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 244.0,
      "y1": 188.5,
      "x2": 342.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002037"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001850.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.0,
      "y1": 188.5,
      "x2": 342.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002037"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001853.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 191.0,
      "x2": 607.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002038"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001853.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 191.0,
      "x2": 607.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002038"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001856.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 164.0,
      "y1": 136.0,
      "x2": 386.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002039"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001856.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 164.0,
      "y1": 136.0,
      "x2": 386.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002039"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001857.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002040"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001857.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001857.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002040"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001858.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002041"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001858.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001858.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002041"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001859.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 198.0,
      "x2": 484.0,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002042"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001859.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001859.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 198.0,
      "x2": 484.0,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002042"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001860.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002043"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001860.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002043"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001862.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002044"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001862.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002044"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001866.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 484.0,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002045"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001866.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 484.0,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002045"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001871.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 191.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002046"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001871.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001871.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 191.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002046"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001872.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 602.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002047"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001872.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001872.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 602.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002047"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001879.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002048"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001879.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002048"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001882.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002049"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001882.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002049"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001883.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002050"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001883.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001883.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002050"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001884.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.0,
      "x2": 399.0,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002051"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001884.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.0,
      "x2": 399.0,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002051"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001885.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002052"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001885.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002052"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001886.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002053"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001886.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002053"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001888.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 184.5,
      "x2": 463.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002054"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001888.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 184.5,
      "x2": 463.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002054"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001892.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 186.5,
      "x2": 424.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002055"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001892.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 186.5,
      "x2": 424.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002055"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001895.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002056"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001895.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001895.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 555.5,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002056"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001896.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002057"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001896.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002057"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001898.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002058"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001898.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001898.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 546.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002058"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001899.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 50.0,
      "y1": 174.0,
      "x2": 112.5,
      "y2": 197.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002059"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001899.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001899.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 50.0,
      "y1": 174.0,
      "x2": 112.5,
      "y2": 197.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002059"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001900.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002060"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001900.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001900.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002060"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001904.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002061"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001904.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002061"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001906.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 213.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002062"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001906.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 213.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002062"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001907.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 536.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002063"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001907.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001907.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 536.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002063"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001909.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002064"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001909.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001909.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002064"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001910.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002065"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001910.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001910.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002065"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001911.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002066"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001911.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001911.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 531.0,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002066"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001913.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002067"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001913.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002067"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001914.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002068"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001914.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001914.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002068"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001916.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002069"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001916.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002069"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001917.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002070"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001917.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002070"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001919.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002071"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001919.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001919.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002071"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001920.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.0,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002072"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001920.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.0,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002072"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001923.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002073"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001923.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001923.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002073"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001924.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002074"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001924.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002074"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001926.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002075"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001926.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001926.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002075"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001927.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002076"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001927.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002076"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001929.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002077"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001929.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001929.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002077"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001930.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 600.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002078"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001930.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001930.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.0,
      "x2": 600.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002078"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001931.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 601.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002079"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001931.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 601.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002079"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001932.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002080"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001932.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001932.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002080"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001933.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002081"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001933.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001933.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002081"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001934.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002082"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001934.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002082"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001938.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.0,
      "x2": 484.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002083"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001938.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001938.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.0,
      "x2": 484.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002083"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001939.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 197.5,
      "x2": 481.0,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002084"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001939.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 197.5,
      "x2": 481.0,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002084"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001940.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002085"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001940.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002085"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001944.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002086"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001944.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001944.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002086"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001946.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 115.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002087"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001946.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001946.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 115.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002087"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001953.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002088"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001953.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002088"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001954.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002089"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001954.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001954.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002089"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001958.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 482.5,
      "y2": 365.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002090"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001958.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001958.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 482.5,
      "y2": 365.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002090"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001959.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 309.0,
      "y1": 198.0,
      "x2": 480.5,
      "y2": 360.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002091"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001959.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.0,
      "y1": 198.0,
      "x2": 480.5,
      "y2": 360.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002091"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001961.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 196.5,
      "x2": 439.0,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002092"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001961.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 196.5,
      "x2": 439.0,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002092"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001962.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 199.0,
      "x2": 427.0,
      "y2": 311.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002093"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001962.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001962.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.0,
      "y1": 199.0,
      "x2": 427.0,
      "y2": 311.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002093"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001963.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002094"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001963.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001963.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002094"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001964.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 398.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002095"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001964.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001964.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 398.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002095"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001965.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002096"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001965.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002096"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001970.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 193.5,
      "x2": 389.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002097"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001970.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001970.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 193.5,
      "x2": 389.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002097"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001972.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 193.0,
      "x2": 376.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002098"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001972.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001972.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 193.0,
      "x2": 376.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002098"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001973.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002099"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001973.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002099"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001974.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 539.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002100"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001974.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 539.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002100"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001975.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002101"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001975.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002101"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001976.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002102"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001976.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001976.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002102"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001980.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 213.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002103"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001980.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 213.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002103"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001981.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 488.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002104"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001981.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 488.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002104"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001986.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002105"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001986.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002105"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001989.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 192.0,
      "x2": 565.5,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002106"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001989.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001989.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 192.0,
      "x2": 565.5,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002106"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001990.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 517.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002107"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001990.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001990.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 191.5,
      "x2": 517.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002107"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001991.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 191.5,
      "x2": 474.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002108"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001991.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001991.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 191.5,
      "x2": 474.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002108"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001992.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 379.5,
      "y1": 191.0,
      "x2": 437.5,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002109"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001992.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.5,
      "y1": 191.0,
      "x2": 437.5,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002109"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001993.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 174.5,
      "x2": 115.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002110"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001993.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 174.5,
      "x2": 115.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002110"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001994.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 174.5,
      "x2": 113.0,
      "y2": 199.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002111"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001994.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 174.5,
      "x2": 113.0,
      "y2": 199.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002111"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001997.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002112"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001997.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001997.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002112"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001999.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 173.5,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002113"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001999.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 173.5,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002113"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 196.0,
      "x2": 557.5,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002114"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 196.0,
      "x2": 557.5,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002114"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 187.0,
      "x2": 492.5,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002115"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 187.0,
      "x2": 492.5,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002115"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 176.5,
      "x2": 457.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002116"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002002.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 176.5,
      "x2": 457.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002116"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 285.0,
      "y1": 195.0,
      "x2": 478.5,
      "y2": 373.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002117"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 285.0,
      "y1": 195.0,
      "x2": 478.5,
      "y2": 373.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002117"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 193.5,
      "x2": 357.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002118"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 193.5,
      "x2": 357.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002118"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 183.0,
      "x2": 365.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002119"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002009.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 183.0,
      "x2": 365.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002119"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 259.0,
      "y1": 185.5,
      "x2": 363.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002120"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 259.0,
      "y1": 185.5,
      "x2": 363.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002120"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002121"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002121"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 183.0,
      "x2": 464.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002122"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 183.0,
      "x2": 464.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002122"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 189.0,
      "x2": 513.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000001.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 189.0,
      "x2": 513.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 578.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000012.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 578.0,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000016.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 193.5,
      "x2": 540.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000016.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 193.5,
      "x2": 540.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000019.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 188.0,
      "x2": 579.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000019.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.5,
      "y1": 188.0,
      "x2": 579.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000020.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 185.5,
      "x2": 545.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000020.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 185.5,
      "x2": 545.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000022.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 189.0,
      "x2": 488.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000022.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 189.0,
      "x2": 488.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000025.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000025.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000026.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000026.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000027.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000027.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000028.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000028.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000032.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 486.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002137"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000032.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 486.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002137"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000033.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002138"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000033.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002138"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000034.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 569.5,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002139"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000034.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 569.5,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002139"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000035.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 326.0,
      "y1": 187.0,
      "x2": 466.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002140"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000035.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 326.0,
      "y1": 187.0,
      "x2": 466.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002140"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000036.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 69.0,
      "y1": 185.0,
      "x2": 197.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002141"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000036.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 69.0,
      "y1": 185.0,
      "x2": 197.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002141"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000038.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 70.0,
      "y1": 185.0,
      "x2": 198.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002142"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000038.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 70.0,
      "y1": 185.0,
      "x2": 198.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002142"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000039.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002143"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000039.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002143"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000040.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002144"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000040.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002144"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000042.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 469.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002145"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000042.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002145"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000043.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002146"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000043.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002146"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000044.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 397.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002147"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000044.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 397.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002147"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000046.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 371.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002148"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000046.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 371.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002148"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000050.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 350.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002149"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000050.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 350.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002149"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000051.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 351.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002150"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000051.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 351.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002150"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000056.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 195.5,
      "x2": 515.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002151"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000056.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 195.5,
      "x2": 515.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002151"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000057.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 197.5,
      "x2": 470.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002152"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000057.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 197.5,
      "x2": 470.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002152"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000062.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 170.5,
      "x2": 508.0,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002153"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000062.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 170.5,
      "x2": 508.0,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002153"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000063.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 168.0,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002154"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000063.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 168.0,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002154"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000065.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002155"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000065.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002155"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000067.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 168.5,
      "x2": 508.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002156"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000067.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 168.5,
      "x2": 508.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002156"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000069.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002157"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000069.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002157"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000070.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 168.0,
      "x2": 508.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002158"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000070.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 168.0,
      "x2": 508.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002158"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000072.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 189.5,
      "x2": 432.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002159"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000072.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 189.5,
      "x2": 432.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002159"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000075.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002160"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000075.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 378.0,
      "y1": 190.0,
      "x2": 431.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002160"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000076.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 190.0,
      "x2": 430.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002161"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000076.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.0,
      "y1": 190.0,
      "x2": 430.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002161"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000079.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 190.0,
      "x2": 434.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002162"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000079.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 190.0,
      "x2": 434.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002162"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000082.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 189.0,
      "x2": 432.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002163"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000082.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 189.0,
      "x2": 432.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002163"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000083.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 189.5,
      "x2": 432.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002164"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000083.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 189.5,
      "x2": 432.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002164"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000086.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002165"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000086.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002165"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000088.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002166"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000088.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 167.5,
      "x2": 509.0,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002166"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000090.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 166.5,
      "x2": 511.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002167"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000090.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 166.5,
      "x2": 511.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002167"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000091.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 167.5,
      "x2": 510.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002168"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000091.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 167.5,
      "x2": 510.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002168"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000094.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 166.0,
      "x2": 509.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002169"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000094.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 166.0,
      "x2": 509.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002169"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000097.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 369.0,
      "y1": 189.5,
      "x2": 425.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002170"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000097.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 369.0,
      "y1": 189.5,
      "x2": 425.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002170"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000101.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 122.0,
      "x2": 408.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002171"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000101.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 122.0,
      "x2": 408.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002171"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000102.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 54.0,
      "y1": 75.5,
      "x2": 345.0,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002172"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000102.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 54.0,
      "y1": 75.5,
      "x2": 345.0,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002172"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000103.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 193.5,
      "x2": 347.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002173"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000103.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 193.5,
      "x2": 347.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002173"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000106.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 195.5,
      "x2": 419.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002174"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000106.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 195.5,
      "x2": 419.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002174"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000107.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 200.5,
      "x2": 369.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002175"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000107.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 200.5,
      "x2": 369.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002175"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000108.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 205.5,
      "x2": 321.5,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002176"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000108.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 185.5,
      "y1": 205.5,
      "x2": 321.5,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002176"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000110.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 202.5,
      "x2": 393.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002177"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000110.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 202.5,
      "x2": 393.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002177"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000112.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 216.0,
      "x2": 266.0,
      "y2": 352.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002178"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000112.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 43.0,
      "y1": 216.0,
      "x2": 266.0,
      "y2": 352.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002178"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000113.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 535.5,
      "y1": 224.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002179"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000113.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 535.5,
      "y1": 224.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002179"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000114.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 479.5,
      "y1": 204.0,
      "x2": 579.0,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002180"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000114.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.5,
      "y1": 204.0,
      "x2": 579.0,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002180"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000115.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 198.5,
      "x2": 465.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002181"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000115.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 198.5,
      "x2": 465.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002181"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000118.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 196.5,
      "x2": 362.5,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002182"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000118.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 196.5,
      "x2": 362.5,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002182"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000120.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 523.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002183"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000120.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 523.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002183"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000121.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 207.5,
      "x2": 585.0,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002184"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000121.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 207.5,
      "x2": 585.0,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002184"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000122.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 198.5,
      "x2": 417.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002185"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000122.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 198.5,
      "x2": 417.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002185"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000128.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 207.0,
      "x2": 358.0,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002186"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000128.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.5,
      "y1": 207.0,
      "x2": 358.0,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002186"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000131.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 509.5,
      "y1": 189.0,
      "x2": 574.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002187"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000131.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 509.5,
      "y1": 189.0,
      "x2": 574.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002187"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000132.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 193.5,
      "x2": 386.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002188"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000132.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 193.5,
      "x2": 386.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002188"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000133.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 201.0,
      "x2": 319.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002189"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000133.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 201.0,
      "x2": 319.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002189"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000134.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 200.0,
      "x2": 196.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002190"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000134.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 200.0,
      "x2": 196.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002190"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000139.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.5,
      "x2": 199.0,
      "y2": 298.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002191"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000139.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 211.5,
      "x2": 199.0,
      "y2": 298.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002191"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000140.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 213.0,
      "x2": 292.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002192"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000140.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 114.5,
      "y1": 213.0,
      "x2": 292.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002192"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000142.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 359.0,
      "y1": 200.0,
      "x2": 454.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002193"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000142.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 359.0,
      "y1": 200.0,
      "x2": 454.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002193"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000143.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 63.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002194"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000143.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 63.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002194"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000144.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 194.0,
      "x2": 284.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002195"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000144.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 194.0,
      "x2": 284.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002195"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000146.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 253.5,
      "y1": 185.5,
      "x2": 310.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002196"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000146.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 253.5,
      "y1": 185.5,
      "x2": 310.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002196"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000150.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 250.0,
      "y1": 186.5,
      "x2": 300.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002197"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000150.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 250.0,
      "y1": 186.5,
      "x2": 300.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002197"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000151.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 184.5,
      "x2": 291.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002198"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000151.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 184.5,
      "x2": 291.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002198"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000157.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 188.0,
      "x2": 616.5,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002199"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000157.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 188.0,
      "x2": 616.5,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002199"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000159.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 186.5,
      "x2": 189.5,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002200"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000159.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 186.5,
      "x2": 189.5,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002200"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000165.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 191.0,
      "x2": 430.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002201"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000165.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 191.0,
      "x2": 430.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002201"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000166.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 196.5,
      "x2": 429.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002202"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000166.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.5,
      "y1": 196.5,
      "x2": 429.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002202"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000170.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 196.5,
      "x2": 218.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002203"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000170.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 196.5,
      "x2": 218.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002203"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000172.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 203.0,
      "x2": 625.5,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002204"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000172.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 203.0,
      "x2": 625.5,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002204"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000173.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 176.0,
      "x2": 270.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002205"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000173.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.0,
      "y1": 176.0,
      "x2": 270.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002205"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000174.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 179.5,
      "x2": 253.5,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002206"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000174.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 179.5,
      "x2": 253.5,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002206"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000175.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 147.0,
      "y1": 176.5,
      "x2": 243.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002207"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000175.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 147.0,
      "y1": 176.5,
      "x2": 243.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002207"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000176.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 156.0,
      "x2": 193.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002208"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000176.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 1.5,
      "y1": 156.0,
      "x2": 193.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002208"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000179.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 199.0,
      "x2": 483.0,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002209"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000179.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 199.0,
      "x2": 483.0,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002209"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000183.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 187.0,
      "x2": 503.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002210"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000183.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 187.0,
      "x2": 503.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002210"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000185.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 187.5,
      "x2": 240.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002211"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000185.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 187.5,
      "x2": 240.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002211"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000187.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 190.0,
      "x2": 278.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002212"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000187.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 190.0,
      "x2": 278.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002212"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000189.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 201.0,
      "x2": 189.0,
      "y2": 303.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002213"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000189.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 201.0,
      "x2": 189.0,
      "y2": 303.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002213"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000201.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 199.5,
      "x2": 560.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002214"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000201.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 199.5,
      "x2": 560.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002214"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000203.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 199.5,
      "x2": 521.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002215"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000203.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 199.5,
      "x2": 521.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002215"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000205.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 195.0,
      "x2": 573.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002216"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000205.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 195.0,
      "x2": 573.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002216"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000206.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 197.0,
      "x2": 266.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002217"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000206.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 197.0,
      "x2": 266.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002217"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000207.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 196.5,
      "x2": 229.0,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002218"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000207.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 125.0,
      "y1": 196.5,
      "x2": 229.0,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002218"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000211.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 170.0,
      "x2": 288.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002219"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000211.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 170.0,
      "x2": 288.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002219"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000212.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 188.0,
      "y1": 163.5,
      "x2": 278.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002220"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000212.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 188.0,
      "y1": 163.5,
      "x2": 278.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002220"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000214.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 483.5,
      "y1": 163.5,
      "x2": 630.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002221"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000214.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 483.5,
      "y1": 163.5,
      "x2": 630.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002221"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000215.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 195.0,
      "x2": 423.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002222"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000215.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 363.0,
      "y1": 195.0,
      "x2": 423.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002222"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000218.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 182.5,
      "x2": 475.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002223"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000218.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 182.5,
      "x2": 475.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002223"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000220.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 189.0,
      "x2": 460.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002224"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000220.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 189.0,
      "x2": 460.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002224"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000221.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 194.5,
      "x2": 433.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002225"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000221.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 194.5,
      "x2": 433.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002225"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000222.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 283.0,
      "y1": 180.5,
      "x2": 393.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002226"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000222.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 283.0,
      "y1": 180.5,
      "x2": 393.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002226"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000225.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 141.0,
      "x2": 242.5,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002227"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000225.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 141.0,
      "x2": 242.5,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002227"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000226.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 164.0,
      "x2": 373.0,
      "y2": 187.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002228"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000226.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 164.0,
      "x2": 373.0,
      "y2": 187.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002228"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000227.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 181.5,
      "x2": 492.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002229"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000227.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 181.5,
      "x2": 492.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002229"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000228.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 301.5,
      "y1": 198.5,
      "x2": 366.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002230"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000228.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 301.5,
      "y1": 198.5,
      "x2": 366.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002230"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000229.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 185.5,
      "x2": 364.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002231"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000229.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 185.5,
      "x2": 364.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002231"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000230.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 191.5,
      "x2": 246.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002232"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000230.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 184.5,
      "y1": 191.5,
      "x2": 246.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002232"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000231.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 188.0,
      "x2": 293.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002233"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000231.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 188.0,
      "x2": 293.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002233"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000233.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 206.0,
      "x2": 584.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002234"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000233.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 206.0,
      "x2": 584.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002234"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000234.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 205.0,
      "x2": 238.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002235"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000234.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 176.0,
      "y1": 205.0,
      "x2": 238.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002235"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000237.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 191.0,
      "x2": 496.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002236"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000237.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 191.0,
      "x2": 496.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002236"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000239.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 196.0,
      "x2": 630.0,
      "y2": 271.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002237"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000239.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 196.0,
      "x2": 630.0,
      "y2": 271.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002237"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000240.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 176.5,
      "x2": 268.5,
      "y2": 201.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002238"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000240.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 214.5,
      "y1": 176.5,
      "x2": 268.5,
      "y2": 201.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002238"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000241.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 148.5,
      "x2": 273.5,
      "y2": 181.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002239"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000241.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 148.5,
      "x2": 273.5,
      "y2": 181.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002239"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000242.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 180.0,
      "x2": 301.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002240"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000242.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 180.0,
      "x2": 301.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002240"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000248.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 349.5,
      "y1": 184.5,
      "x2": 438.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002241"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000248.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 349.5,
      "y1": 184.5,
      "x2": 438.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002241"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000250.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 199.5,
      "x2": 594.0,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002242"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000250.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 199.5,
      "x2": 594.0,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002242"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000251.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 192.0,
      "x2": 170.0,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002243"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000251.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 192.0,
      "x2": 170.0,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002243"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000252.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 41.0,
      "y1": 198.0,
      "x2": 129.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002244"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000252.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 41.0,
      "y1": 198.0,
      "x2": 129.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002244"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000253.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.5,
      "x2": 79.0,
      "y2": 356.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002245"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000253.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.5,
      "x2": 79.0,
      "y2": 356.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002245"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000256.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 3.0,
      "y1": 183.5,
      "x2": 72.0,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002246"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000256.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.0,
      "y1": 183.5,
      "x2": 72.0,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002246"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000258.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 202.0,
      "x2": 540.0,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002247"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000258.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 202.0,
      "x2": 540.0,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002247"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000259.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 190.0,
      "x2": 353.0,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002248"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000259.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 190.0,
      "x2": 353.0,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002248"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000260.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 204.5,
      "x2": 454.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002249"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000260.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 204.5,
      "x2": 454.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002249"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000262.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 146.5,
      "x2": 213.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002250"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000262.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 58.5,
      "y1": 146.5,
      "x2": 213.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002250"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000264.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 183.0,
      "x2": 381.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002251"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000264.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 183.0,
      "x2": 381.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002251"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000266.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 178.5,
      "x2": 628.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002252"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000266.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 178.5,
      "x2": 628.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002252"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000269.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 196.0,
      "x2": 333.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002253"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000269.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 261.0,
      "y1": 196.0,
      "x2": 333.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002253"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000270.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 195.5,
      "x2": 351.0,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002254"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000270.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.5,
      "y1": 195.5,
      "x2": 351.0,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002254"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000271.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 192.0,
      "x2": 365.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002255"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000271.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 192.0,
      "x2": 365.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002255"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000273.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002256"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000273.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 193.0,
      "x2": 500.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002256"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000275.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 187.0,
      "x2": 451.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002257"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000275.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 187.0,
      "x2": 451.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002257"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000278.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.5,
      "x2": 90.0,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002258"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000278.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.5,
      "x2": 90.0,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002258"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000279.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 194.0,
      "x2": 540.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002259"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000279.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 194.0,
      "x2": 540.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002259"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000281.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 179.0,
      "x2": 274.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002260"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000281.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.5,
      "y1": 179.0,
      "x2": 274.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002260"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000286.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 190.5,
      "x2": 527.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002261"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000286.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.5,
      "y1": 190.5,
      "x2": 527.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002261"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000287.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 195.0,
      "x2": 639.5,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002262"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000287.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 195.0,
      "x2": 639.5,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002262"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000288.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 137.0,
      "y1": 191.5,
      "x2": 207.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002263"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000288.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 137.0,
      "y1": 191.5,
      "x2": 207.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002263"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000289.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 196.0,
      "x2": 193.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002264"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000289.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 196.0,
      "x2": 193.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002264"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000290.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 194.5,
      "x2": 189.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002265"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000290.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 194.5,
      "x2": 189.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002265"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000295.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 408.5,
      "y1": 180.0,
      "x2": 472.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002266"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000295.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.5,
      "y1": 180.0,
      "x2": 472.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002266"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000296.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 475.5,
      "y1": 180.5,
      "x2": 578.5,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002267"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000296.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.5,
      "y1": 180.5,
      "x2": 578.5,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002267"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000297.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 198.0,
      "x2": 416.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002268"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000297.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 198.0,
      "x2": 416.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002268"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000298.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 192.0,
      "x2": 436.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002269"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000298.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 192.0,
      "x2": 436.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002269"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000303.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 216.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002270"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000303.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 172.0,
      "x2": 216.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002270"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000309.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 204.0,
      "x2": 189.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002271"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000309.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 204.0,
      "x2": 189.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002271"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000311.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 193.5,
      "x2": 528.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002272"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000311.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 193.5,
      "x2": 528.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002272"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000312.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 198.0,
      "x2": 610.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002273"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000312.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 198.0,
      "x2": 610.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002273"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000316.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 186.0,
      "y1": 191.5,
      "x2": 273.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002274"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000316.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 186.0,
      "y1": 191.5,
      "x2": 273.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002274"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000318.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 177.5,
      "x2": 447.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002275"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000318.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 177.5,
      "x2": 447.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002275"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000320.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 161.0,
      "x2": 190.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002276"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000320.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 161.0,
      "x2": 190.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002276"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000323.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002277"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000323.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002277"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000325.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 193.5,
      "x2": 572.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002278"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000325.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 193.5,
      "x2": 572.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002278"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000326.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 199.0,
      "x2": 411.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002279"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000326.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 199.0,
      "x2": 411.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002279"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000328.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 181.0,
      "x2": 75.5,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002280"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000328.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 181.0,
      "x2": 75.5,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002280"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000332.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 401.0,
      "y1": 186.0,
      "x2": 540.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002281"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000332.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 401.0,
      "y1": 186.0,
      "x2": 540.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002281"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000333.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 229.0,
      "y1": 186.5,
      "x2": 383.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002282"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000333.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 229.0,
      "y1": 186.5,
      "x2": 383.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002282"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000334.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 179.0,
      "x2": 208.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002283"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000334.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 179.0,
      "x2": 208.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002283"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000337.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 183.0,
      "x2": 256.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002284"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000337.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 183.0,
      "x2": 256.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002284"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000338.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 369.5,
      "y1": 178.5,
      "x2": 425.0,
      "y2": 200.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002285"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000338.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 369.5,
      "y1": 178.5,
      "x2": 425.0,
      "y2": 200.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002285"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000343.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 338.5,
      "y1": 190.0,
      "x2": 523.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002286"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000343.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 338.5,
      "y1": 190.0,
      "x2": 523.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002286"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000346.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 597.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 269.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002287"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000346.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 597.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 269.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002287"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000347.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 203.5,
      "x2": 534.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002288"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000347.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 203.5,
      "x2": 534.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002288"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000348.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 189.0,
      "x2": 121.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002289"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000348.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 189.0,
      "x2": 121.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002289"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000350.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 154.0,
      "x2": 639.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002290"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000350.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 154.0,
      "x2": 639.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002290"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000352.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 104.5,
      "y1": 137.5,
      "x2": 480.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002291"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000352.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 104.5,
      "y1": 137.5,
      "x2": 480.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002291"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000357.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 178.5,
      "x2": 123.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002292"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000357.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 178.5,
      "x2": 123.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002292"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000358.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 189.5,
      "x2": 121.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002293"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000358.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 189.5,
      "x2": 121.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002293"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000362.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002294"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000362.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002294"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000364.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002295"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000364.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.0,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002295"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000365.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002296"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000365.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 191.0,
      "x2": 121.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002296"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000366.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002297"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000366.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 191.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002297"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000367.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 191.5,
      "x2": 115.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002298"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000367.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 191.5,
      "x2": 115.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002298"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000369.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 190.5,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002299"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000369.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 190.5,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002299"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000370.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002300"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000370.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002300"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000375.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002301"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000375.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.0,
      "y1": 190.5,
      "x2": 121.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002301"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000377.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002302"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000377.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 558.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002302"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000381.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002303"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000381.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002303"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000383.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 190.0,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002304"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000383.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 190.0,
      "x2": 120.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002304"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000385.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002305"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000385.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002305"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000386.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002306"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000386.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002306"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000388.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002307"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000388.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 191.0,
      "x2": 121.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002307"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000389.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 120.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002308"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000389.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 191.0,
      "x2": 120.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002308"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000392.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002309"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000392.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002309"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000393.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002310"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000393.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.5,
      "x2": 120.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002310"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000394.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002311"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000394.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.5,
      "y1": 190.0,
      "x2": 120.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002311"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000395.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 191.5,
      "x2": 119.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002312"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000395.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 191.5,
      "x2": 119.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002312"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000396.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 507.5,
      "y1": 195.5,
      "x2": 610.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002313"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000396.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 507.5,
      "y1": 195.5,
      "x2": 610.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002313"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000397.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 189.5,
      "x2": 531.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002314"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000397.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 189.5,
      "x2": 531.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002314"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000399.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 196.0,
      "x2": 569.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002315"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000399.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 196.0,
      "x2": 569.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002315"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000400.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 328.0,
      "y1": 187.5,
      "x2": 387.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002316"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000400.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 328.0,
      "y1": 187.5,
      "x2": 387.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002316"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000401.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 192.5,
      "x2": 111.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002317"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000401.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 192.5,
      "x2": 111.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002317"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000402.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 97.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002318"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000402.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 97.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002318"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000403.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 188.5,
      "x2": 72.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002319"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000403.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 188.5,
      "x2": 72.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002319"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000404.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.0,
      "x2": 53.0,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002320"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000404.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.0,
      "x2": 53.0,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002320"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000405.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 36.5,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002321"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000405.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 36.5,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002321"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000406.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 83.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002322"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000406.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 83.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002322"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000407.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 204.5,
      "x2": 235.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002323"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000407.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 204.5,
      "x2": 235.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002323"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000408.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 221.0,
      "x2": 526.0,
      "y2": 324.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002324"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000408.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 221.0,
      "x2": 526.0,
      "y2": 324.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002324"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000410.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 226.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002325"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000410.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 226.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002325"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000411.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 349.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002326"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000411.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 215.5,
      "x2": 639.5,
      "y2": 349.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002326"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000416.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 187.5,
      "x2": 470.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002327"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000416.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 187.5,
      "x2": 470.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002327"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000417.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 213.0,
      "y1": 195.0,
      "x2": 278.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002328"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000417.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 213.0,
      "y1": 195.0,
      "x2": 278.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002328"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000418.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 197.5,
      "x2": 456.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002329"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000418.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 197.5,
      "x2": 456.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002329"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000419.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 361.0,
      "y1": 189.0,
      "x2": 413.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002330"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000419.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 361.0,
      "y1": 189.0,
      "x2": 413.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002330"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000423.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 202.0,
      "x2": 57.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002331"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000423.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 202.0,
      "x2": 57.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002331"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000424.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 59.0,
      "y1": 204.0,
      "x2": 167.0,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002332"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000424.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 59.0,
      "y1": 204.0,
      "x2": 167.0,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002332"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000425.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 201.0,
      "x2": 242.5,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002333"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000425.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 201.0,
      "x2": 242.5,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002333"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000427.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 196.5,
      "x2": 480.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002334"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000427.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.5,
      "y1": 196.5,
      "x2": 480.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002334"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000428.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 195.5,
      "x2": 542.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002335"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000428.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 195.5,
      "x2": 542.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002335"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000430.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 191.0,
      "x2": 517.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002336"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000430.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 191.0,
      "x2": 517.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002336"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000431.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 184.5,
      "x2": 620.0,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002337"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000431.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 184.5,
      "x2": 620.0,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002337"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000432.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 200.0,
      "x2": 625.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002338"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000432.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.5,
      "y1": 200.0,
      "x2": 625.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002338"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000434.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 178.5,
      "x2": 565.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002339"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000434.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 178.5,
      "x2": 565.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002339"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000440.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 204.0,
      "x2": 633.0,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002340"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000440.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 510.5,
      "y1": 204.0,
      "x2": 633.0,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002340"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000443.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 206.0,
      "x2": 220.0,
      "y2": 278.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002341"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000443.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 206.0,
      "x2": 220.0,
      "y2": 278.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002341"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000445.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 182.5,
      "x2": 488.5,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002342"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000445.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 182.5,
      "x2": 488.5,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002342"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000446.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 194.0,
      "x2": 563.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002343"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000446.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 194.0,
      "x2": 563.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002343"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000451.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 193.0,
      "x2": 238.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002344"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000451.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 193.0,
      "x2": 238.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002344"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000453.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 195.5,
      "x2": 515.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002345"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000453.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 195.5,
      "x2": 515.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002345"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000455.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 189.5,
      "x2": 564.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002346"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000455.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 189.5,
      "x2": 564.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002346"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000456.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 161.0,
      "x2": 529.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002347"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000456.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.5,
      "y1": 161.0,
      "x2": 529.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002347"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000458.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 580.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002348"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000458.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 580.5,
      "y1": 190.5,
      "x2": 639.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002348"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000459.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 188.5,
      "x2": 623.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002349"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000459.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 188.5,
      "x2": 623.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002349"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000462.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 170.5,
      "x2": 231.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002350"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000462.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 170.5,
      "x2": 231.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002350"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000468.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 138.0,
      "x2": 639.5,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002351"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000468.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 138.0,
      "x2": 639.5,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002351"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000471.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 191.5,
      "x2": 392.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002352"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000471.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 191.5,
      "x2": 392.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002352"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000475.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.0,
      "x2": 379.5,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002353"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000475.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 196.0,
      "x2": 379.5,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002353"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000476.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 191.5,
      "x2": 372.0,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002354"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000476.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.0,
      "y1": 191.5,
      "x2": 372.0,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002354"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000477.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 196.0,
      "x2": 361.0,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002355"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000477.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 196.0,
      "x2": 361.0,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002355"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000478.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 174.0,
      "y1": 197.0,
      "x2": 328.0,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002356"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000478.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 174.0,
      "y1": 197.0,
      "x2": 328.0,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002356"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000479.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 597.5,
      "y1": 224.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002357"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000479.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 597.5,
      "y1": 224.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002357"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000482.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 199.0,
      "x2": 499.5,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002358"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000482.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 199.0,
      "x2": 499.5,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002358"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000485.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 186.5,
      "x2": 250.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002359"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000485.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 186.5,
      "x2": 250.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002359"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000486.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 191.5,
      "x2": 353.0,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002360"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000486.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 191.5,
      "x2": 353.0,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002360"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000487.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 190.5,
      "x2": 326.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002361"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000487.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 190.5,
      "x2": 326.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002361"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000488.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 184.5,
      "x2": 281.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002362"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000488.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 184.5,
      "x2": 281.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002362"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000490.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 181.5,
      "x2": 243.0,
      "y2": 200.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002363"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000490.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 181.5,
      "x2": 243.0,
      "y2": 200.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002363"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000493.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 36.5,
      "y1": 196.0,
      "x2": 224.0,
      "y2": 318.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002364"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000493.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 36.5,
      "y1": 196.0,
      "x2": 224.0,
      "y2": 318.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002364"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000496.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 498.5,
      "y1": 112.5,
      "x2": 639.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002365"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000496.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 498.5,
      "y1": 112.5,
      "x2": 639.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002365"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000498.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 183.5,
      "x2": 367.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002366"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000498.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 183.5,
      "x2": 367.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002366"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000499.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 170.5,
      "x2": 356.0,
      "y2": 201.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002367"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000499.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 170.5,
      "x2": 356.0,
      "y2": 201.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002367"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000501.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 184.0,
      "x2": 385.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002368"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000501.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 184.0,
      "x2": 385.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002368"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000507.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 193.0,
      "x2": 359.5,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002369"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000507.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 193.0,
      "x2": 359.5,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002369"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000508.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 53.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002370"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000508.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 53.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002370"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000513.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 194.0,
      "x2": 456.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002371"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000513.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 194.0,
      "x2": 456.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002371"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000514.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.0,
      "x2": 22.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002372"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000514.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.0,
      "x2": 22.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002372"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000515.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.0,
      "x2": 34.5,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002373"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000515.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 180.0,
      "x2": 34.5,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002373"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000516.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 164.5,
      "x2": 586.0,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002374"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000516.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 164.5,
      "x2": 586.0,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002374"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000517.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 194.5,
      "x2": 492.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002375"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000517.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 194.5,
      "x2": 492.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002375"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000518.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 206.0,
      "x2": 488.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002376"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000518.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 206.0,
      "x2": 488.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002376"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000519.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 203.0,
      "x2": 519.0,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002377"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000519.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 203.0,
      "x2": 519.0,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002377"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000520.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 201.0,
      "x2": 551.5,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002378"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000520.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.5,
      "y1": 201.0,
      "x2": 551.5,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002378"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000521.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 200.0,
      "x2": 593.0,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002379"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000521.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 200.0,
      "x2": 593.0,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002379"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000523.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 65.5,
      "y1": 173.5,
      "x2": 116.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002380"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000523.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 65.5,
      "y1": 173.5,
      "x2": 116.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002380"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000525.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 195.5,
      "x2": 370.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002381"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000525.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 195.5,
      "x2": 370.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002381"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000526.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 189.0,
      "x2": 366.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002382"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000526.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 189.0,
      "x2": 366.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002382"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000527.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 192.5,
      "x2": 373.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002383"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000527.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 192.5,
      "x2": 373.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002383"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000528.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 190.0,
      "x2": 373.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002384"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000528.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 190.0,
      "x2": 373.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002384"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000531.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 197.0,
      "x2": 429.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002385"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000531.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 197.0,
      "x2": 429.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002385"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000533.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 197.0,
      "x2": 477.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002386"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000533.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 197.0,
      "x2": 477.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002386"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000534.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 194.0,
      "x2": 512.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002387"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000534.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 194.0,
      "x2": 512.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002387"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000536.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.0,
      "x2": 543.5,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002388"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000536.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 198.0,
      "x2": 543.5,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002388"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000539.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 197.0,
      "x2": 313.0,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002389"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000539.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 197.0,
      "x2": 313.0,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002389"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000540.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 199.5,
      "x2": 306.0,
      "y2": 349.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002390"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000540.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 199.5,
      "x2": 306.0,
      "y2": 349.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002390"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000542.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 190.0,
      "x2": 474.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002391"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000542.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.5,
      "y1": 190.0,
      "x2": 474.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002391"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000543.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 380.5,
      "y1": 192.5,
      "x2": 438.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002392"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000543.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 380.5,
      "y1": 192.5,
      "x2": 438.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002392"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000546.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 160.5,
      "x2": 197.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002393"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000546.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 160.5,
      "x2": 197.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002393"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000547.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 164.5,
      "x2": 197.0,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002394"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000547.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 94.5,
      "y1": 164.5,
      "x2": 197.0,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002394"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000549.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 166.0,
      "x2": 195.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002395"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000549.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.5,
      "y1": 166.0,
      "x2": 195.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002395"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000551.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 165.0,
      "x2": 197.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002396"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000551.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 165.0,
      "x2": 197.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002396"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000554.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 175.0,
      "x2": 507.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002397"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000554.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 175.0,
      "x2": 507.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002397"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000557.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 177.0,
      "x2": 507.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002398"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000557.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 177.0,
      "x2": 507.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002398"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000559.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 177.0,
      "x2": 507.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002399"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000559.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 177.0,
      "x2": 507.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002399"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000560.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 170.0,
      "x2": 51.0,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002400"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000560.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 170.0,
      "x2": 51.0,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002400"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000563.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.0,
      "x2": 61.5,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002401"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000563.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.0,
      "x2": 61.5,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002401"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000565.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.0,
      "x2": 112.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002402"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000565.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 160.0,
      "x2": 112.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002402"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000566.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 176.5,
      "x2": 556.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002403"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000566.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 176.5,
      "x2": 556.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002403"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000569.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 192.5,
      "x2": 435.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002404"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000569.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 192.5,
      "x2": 435.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002404"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000570.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 195.0,
      "x2": 480.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002405"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000570.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 195.0,
      "x2": 480.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002405"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000572.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002406"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000572.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002406"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000573.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 189.0,
      "x2": 381.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002407"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000573.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 189.0,
      "x2": 381.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002407"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000574.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 191.5,
      "x2": 396.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002408"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000574.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 191.5,
      "x2": 396.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002408"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000577.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 196.0,
      "x2": 447.5,
      "y2": 341.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002409"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000577.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 196.0,
      "x2": 447.5,
      "y2": 341.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002409"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000579.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 197.0,
      "x2": 482.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002410"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000579.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 197.0,
      "x2": 482.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002410"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000581.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 207.0,
      "x2": 639.0,
      "y2": 345.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002411"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000581.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 207.0,
      "x2": 639.0,
      "y2": 345.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002411"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000583.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 508.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002412"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000583.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 508.0,
      "y1": 220.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002412"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000586.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 160.0,
      "x2": 204.0,
      "y2": 196.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002413"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000586.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 160.0,
      "x2": 204.0,
      "y2": 196.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002413"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000587.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 76.0,
      "y1": 154.0,
      "x2": 183.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002414"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000587.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 76.0,
      "y1": 154.0,
      "x2": 183.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002414"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000588.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 112.5,
      "y1": 156.0,
      "x2": 236.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002415"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000588.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 112.5,
      "y1": 156.0,
      "x2": 236.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002415"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000590.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 153.5,
      "x2": 235.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002416"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000590.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 153.5,
      "x2": 235.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002416"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000591.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 40.0,
      "y1": 151.5,
      "x2": 229.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002417"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000591.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 40.0,
      "y1": 151.5,
      "x2": 229.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002417"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000592.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 25.0,
      "y1": 147.5,
      "x2": 225.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002418"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000592.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 25.0,
      "y1": 147.5,
      "x2": 225.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002418"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000593.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 185.5,
      "x2": 544.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002419"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000593.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 185.5,
      "x2": 544.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002419"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000594.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 183.0,
      "x2": 530.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002420"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000594.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 183.0,
      "x2": 530.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002420"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000596.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 183.5,
      "x2": 469.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002421"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000596.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 183.5,
      "x2": 469.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002421"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000597.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 185.0,
      "x2": 446.0,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002422"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000597.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 362.0,
      "y1": 185.0,
      "x2": 446.0,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002422"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000600.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 557.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002423"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000600.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 557.5,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002423"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000602.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 189.5,
      "x2": 533.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002424"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000602.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 189.5,
      "x2": 533.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002424"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000605.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 566.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002425"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000605.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 566.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002425"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000607.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 197.5,
      "x2": 465.5,
      "y2": 373.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002426"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000607.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 197.5,
      "x2": 465.5,
      "y2": 373.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002426"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000610.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002427"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000610.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002427"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000611.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002428"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000611.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.0,
      "y1": 198.5,
      "x2": 470.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002428"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000613.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.0,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002429"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000613.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.0,
      "y1": 198.5,
      "x2": 471.0,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002429"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000614.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002430"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000614.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002430"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000617.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 146.5,
      "x2": 220.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002431"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000617.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 17.5,
      "y1": 146.5,
      "x2": 220.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002431"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000618.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 146.5,
      "x2": 219.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002432"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000618.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.5,
      "y1": 146.5,
      "x2": 219.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002432"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000620.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 146.5,
      "x2": 218.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002433"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000620.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 15.0,
      "y1": 146.5,
      "x2": 218.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002433"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000621.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 147.5,
      "x2": 221.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002434"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000621.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 18.5,
      "y1": 147.5,
      "x2": 221.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002434"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000622.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002435"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000622.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.5,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002435"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000623.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 147.0,
      "x2": 225.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002436"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000623.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 147.0,
      "x2": 225.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002436"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000626.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002437"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000626.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002437"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000629.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 188.0,
      "x2": 554.0,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002438"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000629.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 188.0,
      "x2": 554.0,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002438"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000630.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 191.5,
      "x2": 579.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002439"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000630.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 191.5,
      "x2": 579.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002439"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000631.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 185.5,
      "x2": 400.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002440"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000631.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 185.5,
      "x2": 400.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002440"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000632.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 561.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002441"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000632.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 561.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002441"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000633.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 189.5,
      "x2": 520.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002442"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000633.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 189.5,
      "x2": 520.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002442"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000637.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002443"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000637.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002443"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000638.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002444"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000638.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002444"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000639.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002445"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000639.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002445"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000640.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 169.0,
      "x2": 639.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002446"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000640.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 169.0,
      "x2": 639.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002446"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000643.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 187.5,
      "x2": 590.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002447"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000643.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 187.5,
      "x2": 590.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002447"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000645.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 187.5,
      "x2": 571.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002448"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000645.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 187.5,
      "x2": 571.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002448"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000646.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 184.0,
      "x2": 423.5,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002449"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000646.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 184.0,
      "x2": 423.5,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002449"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000648.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002450"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000648.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002450"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000651.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 581.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002451"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000651.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 581.0,
      "y1": 223.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002451"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000654.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 557.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002452"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000654.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 557.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002452"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000657.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002453"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000657.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002453"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000658.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 20.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002454"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000658.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 20.5,
      "y1": 147.0,
      "x2": 225.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002454"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000659.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 147.5,
      "x2": 224.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002455"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000659.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 21.0,
      "y1": 147.5,
      "x2": 224.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002455"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000660.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 146.5,
      "x2": 224.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002456"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000660.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 146.5,
      "x2": 224.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002456"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000661.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 147.5,
      "x2": 226.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002457"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000661.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.5,
      "y1": 147.5,
      "x2": 226.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002457"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000663.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 147.5,
      "x2": 226.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002458"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000663.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 147.5,
      "x2": 226.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002458"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000666.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 24.0,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002459"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000666.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 24.0,
      "y1": 147.0,
      "x2": 226.0,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002459"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000668.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 471.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002460"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000668.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 198.5,
      "x2": 471.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002460"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000671.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002461"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000671.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 198.5,
      "x2": 468.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002461"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000675.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002462"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000675.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 198.5,
      "x2": 470.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002462"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000677.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 199.0,
      "x2": 470.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002463"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000677.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 199.0,
      "x2": 470.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002463"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000681.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 580.0,
      "y1": 181.5,
      "x2": 639.5,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002464"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000681.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 580.0,
      "y1": 181.5,
      "x2": 639.5,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002464"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000684.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 370.5,
      "y1": 184.5,
      "x2": 517.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002465"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000684.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 370.5,
      "y1": 184.5,
      "x2": 517.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002465"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000686.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 574.0,
      "y1": 189.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002466"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000686.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 574.0,
      "y1": 189.0,
      "x2": 639.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002466"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000689.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 603.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002467"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000689.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 603.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002467"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000690.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002468"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000690.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.5,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002468"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000691.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 376.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002469"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000691.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 376.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002469"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000692.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 601.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002470"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000692.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002470"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000697.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 173.5,
      "x2": 51.5,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002471"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000697.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 173.5,
      "x2": 51.5,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002471"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000698.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002472"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000698.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 559.0,
      "y1": 191.5,
      "x2": 639.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002472"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000699.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 189.0,
      "x2": 585.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002473"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000699.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 189.0,
      "x2": 585.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002473"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000700.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 69.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002474"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000700.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.5,
      "x2": 69.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002474"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000703.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 225.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002475"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000703.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 22.0,
      "y1": 147.0,
      "x2": 225.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002475"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000706.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 41.5,
      "y1": 147.0,
      "x2": 249.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002476"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000706.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 41.5,
      "y1": 147.0,
      "x2": 249.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002476"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000708.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 148.0,
      "x2": 282.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002477"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000708.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 70.5,
      "y1": 148.0,
      "x2": 282.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002477"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000710.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 150.0,
      "x2": 343.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002478"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000710.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 127.5,
      "y1": 150.0,
      "x2": 343.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002478"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000712.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 184.0,
      "x2": 517.0,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002479"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000712.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 184.0,
      "x2": 517.0,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002479"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000713.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 184.5,
      "x2": 638.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002480"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000713.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 184.5,
      "x2": 638.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002480"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000720.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 467.5,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002481"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000720.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.5,
      "y1": 198.5,
      "x2": 467.5,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002481"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000721.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 197.0,
      "x2": 463.5,
      "y2": 371.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002482"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000721.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 274.5,
      "y1": 197.0,
      "x2": 463.5,
      "y2": 371.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002482"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000722.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 197.5,
      "x2": 459.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002483"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000722.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 276.5,
      "y1": 197.5,
      "x2": 459.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002483"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000724.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 196.0,
      "x2": 454.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002484"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000724.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 196.0,
      "x2": 454.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002484"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000727.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 560.5,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002485"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000727.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 560.5,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002485"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000731.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002486"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000731.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002486"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000732.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002487"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000732.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002487"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000733.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002488"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000733.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002488"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000734.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 560.5,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002489"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000734.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 560.5,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002489"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000735.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002490"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000735.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002490"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000736.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002491"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000736.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 216.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002491"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000738.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 602.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002492"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000738.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 602.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002492"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000740.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 174.0,
      "x2": 57.0,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002493"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000740.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 2.5,
      "y1": 174.0,
      "x2": 57.0,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002493"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000741.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 6.0,
      "y1": 173.5,
      "x2": 57.5,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002494"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000741.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 6.0,
      "y1": 173.5,
      "x2": 57.5,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002494"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000743.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 187.5,
      "x2": 582.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002495"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000743.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 482.5,
      "y1": 187.5,
      "x2": 582.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002495"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000745.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 380.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002496"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000745.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 380.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002496"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000748.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 599.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002497"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000748.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 599.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002497"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000749.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 185.0,
      "x2": 471.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002498"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000749.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 388.0,
      "y1": 185.0,
      "x2": 471.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002498"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000753.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002499"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000753.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.5,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002499"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000754.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 564.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002500"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000754.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000754.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 564.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002500"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000755.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002501"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000755.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000755.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002501"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000756.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002502"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000756.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002502"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000757.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002503"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000757.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002503"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000758.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 559.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002504"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000758.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 559.5,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002504"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000759.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002505"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000759.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000759.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 566.5,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002505"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000760.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 565.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002506"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000760.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000760.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 565.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002506"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000761.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 375.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002507"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000761.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000761.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 375.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002507"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000763.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002508"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000763.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 599.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002508"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000765.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002509"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000765.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000765.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002509"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000767.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 385.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002510"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000767.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000767.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 601.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 385.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002510"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000769.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 151.5,
      "x2": 392.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002511"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000769.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 151.5,
      "x2": 392.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002511"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000771.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 257.0,
      "y1": 150.0,
      "x2": 416.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002512"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000771.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 257.0,
      "y1": 150.0,
      "x2": 416.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002512"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000774.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 339.5,
      "y1": 156.0,
      "x2": 399.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002513"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000774.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000774.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.5,
      "y1": 156.0,
      "x2": 399.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002513"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000775.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 160.0,
      "x2": 396.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002514"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000775.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 350.0,
      "y1": 160.0,
      "x2": 396.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002514"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000776.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 160.0,
      "x2": 391.0,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002515"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000776.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000776.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.0,
      "y1": 160.0,
      "x2": 391.0,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002515"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000779.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 196.5,
      "x2": 455.0,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002516"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000779.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000779.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 196.5,
      "x2": 455.0,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002516"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000780.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 196.0,
      "x2": 456.0,
      "y2": 359.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002517"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000780.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000780.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 196.0,
      "x2": 456.0,
      "y2": 359.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002517"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000783.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 195.5,
      "x2": 454.5,
      "y2": 358.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002518"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000783.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000783.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 195.5,
      "x2": 454.5,
      "y2": 358.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002518"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000784.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 195.5,
      "x2": 457.0,
      "y2": 358.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002519"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000784.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 195.5,
      "x2": 457.0,
      "y2": 358.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002519"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000787.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.5,
      "x2": 81.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002520"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000787.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000787.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 185.5,
      "x2": 81.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002520"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000789.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 45.0,
      "y1": 175.5,
      "x2": 171.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002521"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000789.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 45.0,
      "y1": 175.5,
      "x2": 171.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002521"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000793.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002522"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000793.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002522"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000797.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002523"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000797.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002523"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000801.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002524"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000801.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000801.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 179.0,
      "x2": 63.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002524"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000806.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 195.0,
      "x2": 446.0,
      "y2": 345.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002525"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000806.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000806.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 195.0,
      "x2": 446.0,
      "y2": 345.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002525"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000810.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 192.5,
      "x2": 412.0,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002526"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000810.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000810.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 192.5,
      "x2": 412.0,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002526"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000814.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 600.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002527"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000814.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000814.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 600.5,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 374.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002527"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000815.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002528"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000815.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 598.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 373.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002528"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000818.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002529"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000818.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000818.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002529"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000819.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002530"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000819.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000819.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 574.5,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002530"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000824.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 535.5,
      "y1": 228.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002531"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000824.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000824.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 535.5,
      "y1": 228.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002531"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000825.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 503.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002532"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000825.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000825.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 503.5,
      "y1": 221.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002532"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000826.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002533"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000826.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002533"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000827.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 154.0,
      "x2": 373.5,
      "y2": 192.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002534"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000827.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000827.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 154.0,
      "x2": 373.5,
      "y2": 192.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002534"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000828.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 594.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002535"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000828.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000828.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 594.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002535"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000829.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 569.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002536"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000829.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 569.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002536"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000830.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 541.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002537"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000830.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000830.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 541.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002537"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000833.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 191.5,
      "x2": 451.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002538"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000833.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 400.0,
      "y1": 191.5,
      "x2": 451.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002538"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000837.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 167.5,
      "x2": 346.5,
      "y2": 202.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002539"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000837.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 167.5,
      "x2": 346.5,
      "y2": 202.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002539"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000838.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 176.0,
      "x2": 391.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002540"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000838.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000838.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 176.0,
      "x2": 391.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002540"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000839.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002541"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000839.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000839.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 556.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002541"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000841.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 190.0,
      "x2": 549.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002542"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000841.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.0,
      "y1": 190.0,
      "x2": 549.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002542"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000842.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 188.5,
      "x2": 566.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002543"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000842.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 188.5,
      "x2": 566.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002543"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000843.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 188.0,
      "x2": 635.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002544"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000843.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 188.0,
      "x2": 635.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002544"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000845.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 189.5,
      "x2": 558.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002545"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000845.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000845.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 189.5,
      "x2": 558.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002545"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000849.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 536.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002546"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000849.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000849.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 536.0,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002546"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000850.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 190.5,
      "x2": 615.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002547"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000850.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000850.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 190.5,
      "x2": 615.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002547"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000851.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 188.5,
      "x2": 563.0,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002548"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000851.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 188.5,
      "x2": 563.0,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002548"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000853.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 180.5,
      "x2": 495.0,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002549"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000853.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000853.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 440.0,
      "y1": 180.5,
      "x2": 495.0,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002549"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000854.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 182.5,
      "x2": 495.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002550"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000854.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 182.5,
      "x2": 495.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002550"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000855.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 182.0,
      "x2": 494.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002551"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000855.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 182.0,
      "x2": 494.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002551"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000856.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 440.5,
      "y1": 181.5,
      "x2": 494.5,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002552"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000856.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000856.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 440.5,
      "y1": 181.5,
      "x2": 494.5,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002552"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000860.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 384.5,
      "y1": 190.0,
      "x2": 452.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002553"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000860.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000860.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 384.5,
      "y1": 190.0,
      "x2": 452.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002553"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000862.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 181.0,
      "x2": 486.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002554"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000862.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000862.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 181.0,
      "x2": 486.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002554"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000863.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 182.0,
      "x2": 485.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002555"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000863.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 182.0,
      "x2": 485.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002555"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000864.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 181.5,
      "x2": 487.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002556"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000864.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 181.5,
      "x2": 487.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002556"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000866.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 181.0,
      "x2": 487.0,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002557"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000866.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000866.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 181.0,
      "x2": 487.0,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002557"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000867.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 180.5,
      "x2": 486.0,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002558"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000867.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 180.5,
      "x2": 486.0,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002558"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000868.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 181.0,
      "x2": 487.5,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002559"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000868.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 181.0,
      "x2": 487.5,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002559"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000869.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 180.5,
      "x2": 483.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002560"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000869.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 180.5,
      "x2": 483.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002560"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000873.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 183.0,
      "x2": 393.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002561"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000873.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 183.0,
      "x2": 393.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002561"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000875.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002562"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000875.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 582.0,
      "y1": 221.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002562"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000876.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002563"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000876.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002563"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000879.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 184.0,
      "x2": 503.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002564"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000879.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000879.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 184.0,
      "x2": 503.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002564"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000881.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 184.5,
      "x2": 425.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002565"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000881.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 184.5,
      "x2": 425.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002565"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000882.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 188.5,
      "x2": 368.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002566"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000882.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000882.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 188.5,
      "x2": 368.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002566"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000884.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 353.5,
      "y1": 187.5,
      "x2": 425.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002567"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000884.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000884.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 353.5,
      "y1": 187.5,
      "x2": 425.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002567"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000885.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 251.5,
      "y1": 193.0,
      "x2": 365.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002568"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000885.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000885.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 251.5,
      "y1": 193.0,
      "x2": 365.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002568"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000886.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 182.0,
      "x2": 453.5,
      "y2": 205.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002569"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000886.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000886.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 182.0,
      "x2": 453.5,
      "y2": 205.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002569"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000887.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 239.0,
      "y1": 182.5,
      "x2": 330.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002570"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000887.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 239.0,
      "y1": 182.5,
      "x2": 330.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002570"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000888.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 156.0,
      "x2": 527.0,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002571"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000888.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000888.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 156.0,
      "x2": 527.0,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002571"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000889.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 151.0,
      "x2": 514.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002572"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000889.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 400.5,
      "y1": 151.0,
      "x2": 514.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002572"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000892.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 120.0,
      "x2": 413.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002573"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000892.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000892.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 120.0,
      "x2": 413.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002573"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000896.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 186.0,
      "x2": 312.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002574"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000896.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000896.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 186.0,
      "x2": 312.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002574"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000902.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 176.5,
      "y1": 191.5,
      "x2": 247.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002575"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000902.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 176.5,
      "y1": 191.5,
      "x2": 247.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002575"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000904.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 53.5,
      "y1": 207.5,
      "x2": 200.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002576"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000904.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000904.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 53.5,
      "y1": 207.5,
      "x2": 200.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002576"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000906.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 148.0,
      "y1": 202.5,
      "x2": 257.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002577"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000906.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000906.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 148.0,
      "y1": 202.5,
      "x2": 257.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002577"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000912.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 193.0,
      "x2": 377.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002578"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000912.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 193.0,
      "x2": 377.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002578"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000913.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 190.5,
      "x2": 377.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002579"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000913.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000913.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 190.5,
      "x2": 377.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002579"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000916.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 189.0,
      "x2": 552.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002580"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000916.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000916.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 189.0,
      "x2": 552.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002580"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000917.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 185.5,
      "x2": 475.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002581"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000917.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000917.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 185.5,
      "x2": 475.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002581"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000922.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 199.5,
      "x2": 177.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002582"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000922.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 199.5,
      "x2": 177.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002582"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000924.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 197.0,
      "x2": 238.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002583"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000924.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000924.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 197.0,
      "x2": 238.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002583"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000927.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 132.5,
      "y1": 198.0,
      "x2": 201.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002584"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000927.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000927.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 132.5,
      "y1": 198.0,
      "x2": 201.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002584"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000928.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 195.5,
      "x2": 203.5,
      "y2": 282.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002585"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000928.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 195.5,
      "x2": 203.5,
      "y2": 282.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002585"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000931.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 147.5,
      "y1": 194.0,
      "x2": 242.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002586"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000931.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000931.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 147.5,
      "y1": 194.0,
      "x2": 242.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002586"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000934.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 177.5,
      "x2": 274.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002587"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000934.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000934.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 177.5,
      "x2": 274.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002587"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000935.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 167.5,
      "x2": 251.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002588"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000935.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 167.5,
      "x2": 251.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002588"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000936.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 191.5,
      "x2": 261.0,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002589"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000936.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 191.5,
      "x2": 261.0,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002589"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000937.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 121.0,
      "y1": 195.0,
      "x2": 230.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002590"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000937.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 121.0,
      "y1": 195.0,
      "x2": 230.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002590"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000939.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 196.5,
      "x2": 540.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002591"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000939.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000939.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.5,
      "y1": 196.5,
      "x2": 540.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002591"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000940.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002592"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000940.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000940.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 518.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002592"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000941.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 195.0,
      "x2": 277.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002593"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000941.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 195.0,
      "x2": 277.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002593"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000945.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 183.5,
      "x2": 268.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002594"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000945.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 183.5,
      "x2": 268.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002594"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000950.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 192.0,
      "x2": 374.0,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002595"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000950.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 192.0,
      "x2": 374.0,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002595"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000951.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 196.0,
      "x2": 379.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002596"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000951.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 196.0,
      "x2": 379.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002596"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000953.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 190.0,
      "x2": 381.5,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002597"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000953.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000953.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 190.0,
      "x2": 381.5,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002597"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000959.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 188.5,
      "x2": 265.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002598"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000959.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000959.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.5,
      "y1": 188.5,
      "x2": 265.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002598"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000961.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 200.5,
      "x2": 202.5,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002599"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000961.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000961.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 200.5,
      "x2": 202.5,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002599"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000965.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 506.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002600"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000965.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000965.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 506.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002600"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000966.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 196.0,
      "x2": 493.0,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002601"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000966.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 196.0,
      "x2": 493.0,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002601"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000968.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 193.5,
      "x2": 489.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002602"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000968.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 193.5,
      "x2": 489.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002602"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000971.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 178.5,
      "x2": 221.0,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002603"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000971.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 178.5,
      "x2": 221.0,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002603"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000973.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 195.5,
      "x2": 603.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002604"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000973.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000973.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.0,
      "y1": 195.5,
      "x2": 603.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002604"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000974.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 187.5,
      "y1": 195.5,
      "x2": 255.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002605"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000974.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000974.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 187.5,
      "y1": 195.5,
      "x2": 255.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002605"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000975.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 123.5,
      "y1": 196.5,
      "x2": 225.0,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002606"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000975.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000975.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 123.5,
      "y1": 196.5,
      "x2": 225.0,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002606"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000977.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 501.0,
      "y1": 200.0,
      "x2": 608.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002607"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000977.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 501.0,
      "y1": 200.0,
      "x2": 608.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002607"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000979.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 200.0,
      "x2": 498.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002608"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000979.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.5,
      "y1": 200.0,
      "x2": 498.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002608"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000980.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 484.0,
      "y1": 204.5,
      "x2": 578.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002609"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000980.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000980.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 484.0,
      "y1": 204.5,
      "x2": 578.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002609"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000981.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 183.0,
      "x2": 478.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002610"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000981.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000981.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 183.0,
      "x2": 478.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002610"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000982.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 184.5,
      "x2": 509.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002611"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000982.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.0,
      "y1": 184.5,
      "x2": 509.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002611"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000984.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 183.0,
      "x2": 599.0,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002612"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000984.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.5,
      "y1": 183.0,
      "x2": 599.0,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002612"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000986.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 198.0,
      "x2": 265.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002613"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000986.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000986.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 198.0,
      "x2": 265.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002613"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000988.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 55.0,
      "y1": 203.0,
      "x2": 199.5,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002614"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000988.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 55.0,
      "y1": 203.0,
      "x2": 199.5,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002614"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000992.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 134.5,
      "x2": 264.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002615"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000992.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000992.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 134.5,
      "x2": 264.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002615"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000993.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 105.0,
      "x2": 230.0,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002616"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000993.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000993.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 73.5,
      "y1": 105.0,
      "x2": 230.0,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002616"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000994.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 39.0,
      "x2": 174.0,
      "y2": 386.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002617"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000994.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000994.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 39.0,
      "x2": 174.0,
      "y2": 386.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002617"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000995.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 177.0,
      "x2": 493.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002618"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000995.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 430.5,
      "y1": 177.0,
      "x2": 493.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002618"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000996.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 176.5,
      "x2": 518.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002619"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000996.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 176.5,
      "x2": 518.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002619"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000999.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 123.0,
      "x2": 266.0,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002620"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000999.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000999.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.5,
      "y1": 123.0,
      "x2": 266.0,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002620"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 44.0,
      "y1": 96.0,
      "x2": 248.0,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002621"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001000.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 44.0,
      "y1": 96.0,
      "x2": 248.0,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002621"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 540.5,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 331.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002622"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 540.5,
      "y1": 185.0,
      "x2": 639.5,
      "y2": 331.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002622"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 593.5,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002623"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 593.5,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002623"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 168.5,
      "x2": 602.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002624"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001006.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 168.5,
      "x2": 602.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002624"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 168.5,
      "x2": 639.5,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002625"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001007.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 168.5,
      "x2": 639.5,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002625"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 167.0,
      "x2": 639.5,
      "y2": 314.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002626"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 527.5,
      "y1": 167.0,
      "x2": 639.5,
      "y2": 314.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002626"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 0.0,
      "x2": 203.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002627"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001010.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 0.0,
      "x2": 203.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002627"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 379.5,
      "y1": 190.5,
      "x2": 437.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002628"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.5,
      "y1": 190.5,
      "x2": 437.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002628"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 192.5,
      "x2": 407.5,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002629"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 248.0,
      "y1": 192.5,
      "x2": 407.5,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002629"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 231.0,
      "y1": 192.5,
      "x2": 413.5,
      "y2": 356.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002630"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001014.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.0,
      "y1": 192.5,
      "x2": 413.5,
      "y2": 356.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002630"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001018.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 198.5,
      "x2": 409.0,
      "y2": 330.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002631"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001018.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 198.5,
      "x2": 409.0,
      "y2": 330.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002631"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001020.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 182.0,
      "x2": 385.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002632"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001020.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.5,
      "y1": 182.0,
      "x2": 385.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002632"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001021.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002633"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001021.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.5,
      "y1": 198.5,
      "x2": 390.0,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002633"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001023.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 557.5,
      "y1": 226.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002634"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001023.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 557.5,
      "y1": 226.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002634"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001024.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 393.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002635"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001024.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 393.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002635"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001028.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 189.0,
      "x2": 475.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002636"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001028.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.5,
      "y1": 189.0,
      "x2": 475.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002636"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001031.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 200.5,
      "x2": 504.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002637"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001031.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 200.5,
      "x2": 504.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002637"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001033.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 194.5,
      "x2": 371.5,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002638"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001033.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 194.5,
      "x2": 371.5,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002638"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001034.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 197.0,
      "x2": 468.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002639"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001034.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 197.0,
      "x2": 468.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002639"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001037.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 195.0,
      "x2": 329.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002640"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001037.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 268.5,
      "y1": 195.0,
      "x2": 329.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002640"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001042.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 132.5,
      "y1": 195.0,
      "x2": 186.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002641"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001042.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 132.5,
      "y1": 195.0,
      "x2": 186.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002641"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001043.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 168.5,
      "x2": 233.5,
      "y2": 201.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002642"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001043.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 180.0,
      "y1": 168.5,
      "x2": 233.5,
      "y2": 201.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002642"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001045.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 289.5,
      "y1": 177.0,
      "x2": 357.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002643"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001045.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 289.5,
      "y1": 177.0,
      "x2": 357.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002643"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001048.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 185.0,
      "x2": 592.5,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002644"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001048.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.5,
      "y1": 185.0,
      "x2": 592.5,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002644"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001049.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 187.0,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002645"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001049.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 187.0,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002645"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001050.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 204.5,
      "x2": 627.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002646"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001050.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 501.5,
      "y1": 204.5,
      "x2": 627.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002646"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001051.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 109.5,
      "y1": 199.0,
      "x2": 204.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002647"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001051.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 109.5,
      "y1": 199.0,
      "x2": 204.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002647"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001052.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.0,
      "x2": 158.0,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002648"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001052.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.0,
      "x2": 158.0,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002648"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001060.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 189.0,
      "x2": 298.5,
      "y2": 303.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002649"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001060.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 174.5,
      "y1": 189.0,
      "x2": 298.5,
      "y2": 303.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002649"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001061.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 193.5,
      "x2": 292.5,
      "y2": 310.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002650"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001061.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 193.5,
      "x2": 292.5,
      "y2": 310.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002650"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001063.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 195.0,
      "x2": 344.5,
      "y2": 298.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002651"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001063.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 195.0,
      "x2": 344.5,
      "y2": 298.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002651"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001065.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002652"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001065.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002652"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001066.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 326.5,
      "y1": 197.0,
      "x2": 418.5,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002653"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001066.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 326.5,
      "y1": 197.0,
      "x2": 418.5,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002653"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001070.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 199.0,
      "x2": 556.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002654"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001070.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 199.0,
      "x2": 556.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002654"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001072.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 181.0,
      "x2": 375.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002655"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001072.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 181.0,
      "x2": 375.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002655"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001074.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 189.0,
      "x2": 422.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002656"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001074.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 189.0,
      "x2": 422.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002656"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001076.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 208.0,
      "x2": 626.5,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002657"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001076.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 208.0,
      "x2": 626.5,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002657"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001078.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 157.5,
      "x2": 151.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002658"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001078.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 157.5,
      "x2": 151.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002658"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001079.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 114.5,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002659"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001079.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 114.5,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002659"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001080.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 174.5,
      "x2": 273.5,
      "y2": 203.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002660"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001080.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 218.5,
      "y1": 174.5,
      "x2": 273.5,
      "y2": 203.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002660"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001081.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 188.5,
      "x2": 274.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002661"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001081.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 210.5,
      "y1": 188.5,
      "x2": 274.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002661"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001082.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 177.5,
      "x2": 310.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002662"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001082.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 177.5,
      "x2": 310.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002662"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001083.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 189.5,
      "x2": 363.0,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002663"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001083.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 272.5,
      "y1": 189.5,
      "x2": 363.0,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002663"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001085.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 193.0,
      "x2": 560.5,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002664"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001085.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 193.0,
      "x2": 560.5,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002664"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001088.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 199.5,
      "x2": 142.0,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002665"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001088.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 199.5,
      "x2": 142.0,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002665"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001089.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.5,
      "y1": 196.0,
      "x2": 102.0,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002666"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001089.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.5,
      "y1": 196.0,
      "x2": 102.0,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002666"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001091.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 175.5,
      "x2": 261.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002667"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001091.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 175.5,
      "x2": 261.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002667"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001093.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 185.0,
      "x2": 382.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002668"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001093.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.5,
      "y1": 185.0,
      "x2": 382.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002668"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001096.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002669"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001096.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 195.5,
      "x2": 639.5,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002669"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001100.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 84.0,
      "y2": 293.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002670"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001100.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 84.0,
      "y2": 293.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002670"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001101.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 93.5,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002671"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001101.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 93.5,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002671"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001102.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 193.5,
      "x2": 206.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002672"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001102.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 193.5,
      "x2": 206.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002672"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001105.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 204.0,
      "x2": 473.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002673"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001105.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 204.0,
      "x2": 473.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002673"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001108.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 189.5,
      "x2": 109.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002674"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001108.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 189.5,
      "x2": 109.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002674"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001110.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.5,
      "x2": 147.0,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002675"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001110.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.5,
      "x2": 147.0,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002675"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001111.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 194.5,
      "x2": 443.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002676"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001111.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 194.5,
      "x2": 443.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002676"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001112.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 198.0,
      "x2": 500.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002677"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001112.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 198.0,
      "x2": 500.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002677"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001113.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 200.0,
      "x2": 549.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002678"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001113.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 200.0,
      "x2": 549.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002678"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001115.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 199.5,
      "x2": 161.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002679"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001115.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 76.5,
      "y1": 199.5,
      "x2": 161.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002679"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001116.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 62.0,
      "y1": 205.0,
      "x2": 180.5,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002680"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001116.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 62.0,
      "y1": 205.0,
      "x2": 180.5,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002680"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001119.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 196.5,
      "x2": 208.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002681"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001119.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 148.5,
      "y1": 196.5,
      "x2": 208.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002681"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001120.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 197.0,
      "x2": 234.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002682"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001120.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 197.0,
      "x2": 234.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002682"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001122.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 98.5,
      "y1": 194.5,
      "x2": 155.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002683"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001122.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 98.5,
      "y1": 194.5,
      "x2": 155.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002683"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001124.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 204.0,
      "x2": 218.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002684"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001124.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 204.0,
      "x2": 218.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002684"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001126.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 172.5,
      "y1": 201.0,
      "x2": 232.0,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002685"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001126.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 172.5,
      "y1": 201.0,
      "x2": 232.0,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002685"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001128.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 57.0,
      "y1": 195.5,
      "x2": 167.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002686"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001128.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 57.0,
      "y1": 195.5,
      "x2": 167.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002686"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001130.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 123.5,
      "y2": 312.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002687"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001130.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 123.5,
      "y2": 312.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002687"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001132.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002688"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001132.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 513.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002688"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001133.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 195.0,
      "x2": 415.5,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002689"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001133.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 324.0,
      "y1": 195.0,
      "x2": 415.5,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002689"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001135.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 198.0,
      "x2": 349.5,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002690"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001135.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 198.0,
      "x2": 349.5,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002690"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001139.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 194.0,
      "x2": 424.5,
      "y2": 290.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002691"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001139.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 194.0,
      "x2": 424.5,
      "y2": 290.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002691"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001146.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 529.0,
      "y1": 181.0,
      "x2": 639.5,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002692"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001146.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 529.0,
      "y1": 181.0,
      "x2": 639.5,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002692"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001147.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 179.5,
      "x2": 639.5,
      "y2": 292.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002693"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001147.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 179.5,
      "x2": 639.5,
      "y2": 292.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002693"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001150.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 189.5,
      "x2": 513.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002694"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001150.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 189.5,
      "x2": 513.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002694"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001155.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 196.0,
      "x2": 463.0,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002695"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001155.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.5,
      "y1": 196.0,
      "x2": 463.0,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002695"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001157.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 178.0,
      "x2": 298.5,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002696"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001157.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 178.0,
      "x2": 298.5,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002696"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001158.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 156.0,
      "y1": 170.5,
      "x2": 256.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002697"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001158.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 156.0,
      "y1": 170.5,
      "x2": 256.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002697"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001159.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 32.0,
      "y1": 163.0,
      "x2": 208.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002698"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001159.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 32.0,
      "y1": 163.0,
      "x2": 208.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002698"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001160.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 136.5,
      "x2": 147.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002699"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001160.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 136.5,
      "x2": 147.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002699"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001162.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.0,
      "x2": 453.0,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002700"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001162.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 189.0,
      "x2": 453.0,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002700"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001163.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 189.5,
      "x2": 472.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002701"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001163.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 379.0,
      "y1": 189.5,
      "x2": 472.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002701"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001164.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 408.5,
      "y1": 187.5,
      "x2": 547.0,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002702"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001164.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.5,
      "y1": 187.5,
      "x2": 547.0,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002702"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001166.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 360.5,
      "y1": 197.5,
      "x2": 434.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002703"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001166.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 360.5,
      "y1": 197.5,
      "x2": 434.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002703"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001169.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 197.0,
      "x2": 509.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002704"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001169.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 197.0,
      "x2": 509.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002704"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001170.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 199.5,
      "x2": 524.0,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002705"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001170.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 199.5,
      "x2": 524.0,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002705"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001171.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 172.5,
      "y1": 179.0,
      "x2": 223.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002706"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001171.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 172.5,
      "y1": 179.0,
      "x2": 223.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002706"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001172.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 177.5,
      "x2": 289.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002707"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001172.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 225.5,
      "y1": 177.5,
      "x2": 289.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002707"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001176.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 86.5,
      "y1": 172.5,
      "x2": 247.5,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002708"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001176.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 86.5,
      "y1": 172.5,
      "x2": 247.5,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002708"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001177.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 184.5,
      "x2": 183.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002709"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001177.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 184.5,
      "x2": 183.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002709"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001178.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 180.5,
      "x2": 211.0,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002710"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001178.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 180.5,
      "x2": 211.0,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002710"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001179.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 152.5,
      "y1": 176.0,
      "x2": 274.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002711"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001179.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.5,
      "y1": 176.0,
      "x2": 274.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002711"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001181.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.5,
      "x2": 219.0,
      "y2": 335.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002712"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001181.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.5,
      "x2": 219.0,
      "y2": 335.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002712"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001183.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 87.5,
      "y1": 197.0,
      "x2": 162.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002713"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001183.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 87.5,
      "y1": 197.0,
      "x2": 162.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002713"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001184.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 60.5,
      "y1": 203.5,
      "x2": 160.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002714"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001184.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 60.5,
      "y1": 203.5,
      "x2": 160.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002714"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001186.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 218.0,
      "x2": 181.5,
      "y2": 360.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002715"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001186.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 218.0,
      "x2": 181.5,
      "y2": 360.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002715"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001189.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 183.0,
      "x2": 109.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002716"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001189.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 183.0,
      "x2": 109.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002716"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001190.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 191.5,
      "x2": 553.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002717"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001190.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 191.5,
      "x2": 553.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002717"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001191.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 195.5,
      "x2": 592.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002718"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001191.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 195.5,
      "x2": 592.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002718"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001193.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002719"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001193.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.0,
      "y1": 196.5,
      "x2": 639.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002719"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001195.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 169.5,
      "x2": 469.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002720"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001195.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 169.5,
      "x2": 469.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002720"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001196.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 187.5,
      "x2": 479.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002721"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001196.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.0,
      "y1": 187.5,
      "x2": 479.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002721"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001197.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 414.5,
      "y1": 190.5,
      "x2": 480.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002722"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001197.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 414.5,
      "y1": 190.5,
      "x2": 480.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002722"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001199.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 201.0,
      "x2": 270.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002723"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001199.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 201.0,
      "x2": 270.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002723"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001201.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 436.0,
      "y1": 202.0,
      "x2": 546.5,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002724"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001201.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.0,
      "y1": 202.0,
      "x2": 546.5,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002724"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001203.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.0,
      "x2": 538.0,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002725"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001203.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 202.0,
      "x2": 538.0,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002725"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001205.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002726"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001205.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002726"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001207.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 201.5,
      "x2": 564.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002727"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001207.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 201.5,
      "x2": 564.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002727"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001208.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002728"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001208.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002728"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001209.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002729"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001209.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002729"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001210.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 563.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002730"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001210.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 563.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002730"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001212.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.0,
      "x2": 248.0,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002731"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001212.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.0,
      "x2": 248.0,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002731"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001214.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002732"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001214.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002732"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001217.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.5,
      "x2": 247.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002733"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001217.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.5,
      "x2": 247.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002733"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001218.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 247.0,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002734"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001218.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 247.0,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002734"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001222.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002735"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001222.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002735"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001225.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002736"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001225.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002736"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001227.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002737"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001227.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002737"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001228.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002738"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001228.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002738"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001232.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 172.0,
      "x2": 226.0,
      "y2": 316.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002739"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001232.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 20.0,
      "y1": 172.0,
      "x2": 226.0,
      "y2": 316.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002739"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001233.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 170.5,
      "x2": 222.5,
      "y2": 319.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002740"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001233.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 170.5,
      "x2": 222.5,
      "y2": 319.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002740"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001235.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.5,
      "x2": 222.5,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002741"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001235.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.5,
      "x2": 222.5,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002741"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001236.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002742"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001236.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002742"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001238.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002743"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001238.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002743"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001239.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002744"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001239.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002744"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001240.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002745"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001240.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 221.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002745"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001241.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 194.0,
      "x2": 493.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002746"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001241.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 194.0,
      "x2": 493.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002746"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001242.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 495.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002747"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001242.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 192.5,
      "x2": 495.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002747"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001244.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002748"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001244.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 193.0,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002748"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001245.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002749"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001245.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002749"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001253.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 197.5,
      "x2": 431.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002750"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001253.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 233.5,
      "y1": 197.5,
      "x2": 431.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002750"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001254.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 198.5,
      "x2": 426.0,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002751"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001254.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 198.5,
      "x2": 426.0,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002751"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001255.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.5,
      "y1": 199.0,
      "x2": 428.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002752"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001255.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.5,
      "y1": 199.0,
      "x2": 428.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002752"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001257.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 198.0,
      "x2": 425.5,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002753"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001257.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.0,
      "y1": 198.0,
      "x2": 425.5,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002753"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001258.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 198.5,
      "x2": 425.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002754"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001258.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 198.5,
      "x2": 425.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002754"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001263.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002755"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001263.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002755"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001264.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.5,
      "x2": 292.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002756"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001264.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.5,
      "x2": 292.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002756"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001265.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002757"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001265.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002757"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001266.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002758"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001266.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002758"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001268.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002759"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001268.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002759"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001270.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 173.0,
      "x2": 294.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002760"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001270.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 173.0,
      "x2": 294.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002760"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001271.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.5,
      "x2": 566.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002761"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001271.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.5,
      "x2": 566.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002761"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001273.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.5,
      "x2": 565.0,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002762"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001273.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.5,
      "x2": 565.0,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002762"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001274.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002763"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001274.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002763"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001275.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.0,
      "x2": 565.5,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002764"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001275.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.0,
      "x2": 565.5,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002764"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001277.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002765"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001277.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.5,
      "x2": 564.5,
      "y2": 297.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002765"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001278.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.5,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002766"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001278.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.5,
      "x2": 565.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002766"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001279.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 202.0,
      "x2": 555.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002767"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001279.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 202.0,
      "x2": 555.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002767"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001280.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002768"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001280.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002768"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001283.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 380.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002769"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001283.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 228.5,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 380.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002769"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001284.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 198.5,
      "x2": 431.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002770"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001284.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.0,
      "y1": 198.5,
      "x2": 431.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002770"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001285.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 235.5,
      "y1": 198.5,
      "x2": 433.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002771"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001285.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 235.5,
      "y1": 198.5,
      "x2": 433.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002771"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001286.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 198.5,
      "x2": 424.5,
      "y2": 380.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002772"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001286.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 198.5,
      "x2": 424.5,
      "y2": 380.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002772"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001288.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 197.5,
      "x2": 428.0,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002773"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001288.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 197.5,
      "x2": 428.0,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002773"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001289.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002774"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001289.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002774"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001290.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 379.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002775"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001290.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 230.0,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 379.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002775"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001291.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 206.0,
      "x2": 247.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002776"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001291.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 206.0,
      "x2": 247.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002776"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001292.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002777"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001292.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002777"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001293.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 247.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002778"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001293.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 247.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002778"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001294.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.0,
      "x2": 245.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002779"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001294.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.0,
      "y1": 206.0,
      "x2": 245.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002779"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001295.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 128.5,
      "y1": 205.0,
      "x2": 261.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002780"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001295.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 128.5,
      "y1": 205.0,
      "x2": 261.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002780"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001296.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 205.0,
      "x2": 248.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002781"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001296.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 141.0,
      "y1": 205.0,
      "x2": 248.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002781"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001297.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002782"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001297.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002782"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001298.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002783"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001298.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 205.0,
      "x2": 245.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002783"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001301.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.0,
      "x2": 501.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002784"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001301.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.0,
      "x2": 501.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002784"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001305.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.0,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002785"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001305.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 193.0,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002785"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001309.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 193.0,
      "x2": 500.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002786"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001309.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 193.0,
      "x2": 500.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002786"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001310.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 190.5,
      "x2": 501.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002787"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001310.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 190.5,
      "x2": 501.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002787"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001311.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 222.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002788"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001311.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 222.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002788"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001312.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 222.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002789"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001312.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.5,
      "y1": 173.0,
      "x2": 222.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002789"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001314.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002790"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001314.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002790"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001318.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002791"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001318.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 222.0,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002791"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001320.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 223.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002792"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001320.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 223.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002792"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001321.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.5,
      "x2": 293.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002793"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001321.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.5,
      "x2": 293.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002793"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001322.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 173.0,
      "x2": 295.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002794"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001322.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 173.0,
      "x2": 295.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002794"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001324.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.0,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002795"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001324.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.0,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002795"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001325.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 171.5,
      "x2": 293.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002796"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001325.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.5,
      "y1": 171.5,
      "x2": 293.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002796"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001326.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002797"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001326.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002797"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001329.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 197.5,
      "y1": 172.5,
      "x2": 300.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002798"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001329.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 197.5,
      "y1": 172.5,
      "x2": 300.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002798"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001336.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002799"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001336.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 572.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002799"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001340.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002800"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001340.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002800"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001341.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002801"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001341.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002801"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001342.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.5,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002802"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001342.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 201.5,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002802"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001345.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002803"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001345.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.5,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002803"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001347.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002804"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001347.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 202.0,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002804"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001350.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002805"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001350.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.5,
      "y1": 202.5,
      "x2": 564.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002805"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001351.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002806"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001351.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002806"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001352.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002807"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001352.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002807"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001353.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002808"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001353.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002808"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001354.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002809"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001354.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002809"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001355.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002810"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001355.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002810"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001362.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002811"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001362.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002811"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001365.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.0,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002812"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001365.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.5,
      "y1": 206.0,
      "x2": 246.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002812"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001366.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002813"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001366.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002813"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001367.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002814"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001367.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.5,
      "y1": 206.5,
      "x2": 246.0,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002814"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001368.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002815"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001368.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 206.5,
      "x2": 246.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002815"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001371.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002816"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001371.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 199.0,
      "x2": 426.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002816"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001372.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.0,
      "x2": 425.0,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002817"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001372.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.5,
      "y1": 198.0,
      "x2": 425.0,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002817"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001373.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 198.0,
      "x2": 430.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002818"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001373.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 232.5,
      "y1": 198.0,
      "x2": 430.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002818"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001378.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 379.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002819"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001378.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 198.0,
      "x2": 427.5,
      "y2": 379.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002819"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001382.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 320.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002820"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001382.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 320.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002820"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001384.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 172.5,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002821"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001384.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 172.5,
      "x2": 222.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002821"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001385.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 223.5,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002822"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001385.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 223.5,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002822"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001388.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 320.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002823"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001388.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 173.0,
      "x2": 223.0,
      "y2": 320.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002823"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001389.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 321.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002824"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001389.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.5,
      "x2": 222.5,
      "y2": 321.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002824"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001394.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 191.5,
      "x2": 500.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002825"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001394.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 191.5,
      "x2": 500.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002825"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001395.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 193.0,
      "x2": 496.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002826"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001395.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.5,
      "y1": 193.0,
      "x2": 496.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002826"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001396.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 190.5,
      "x2": 502.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002827"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001396.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 190.5,
      "x2": 502.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002827"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001399.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 192.0,
      "x2": 491.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002828"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001399.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 192.0,
      "x2": 491.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002828"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001401.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002829"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001401.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 204.0,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002829"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001403.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002830"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001403.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 172.0,
      "x2": 293.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002830"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001404.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.5,
      "x2": 294.0,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002831"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001404.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 172.5,
      "x2": 294.0,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002831"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001405.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 172.0,
      "x2": 294.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002832"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001405.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 172.0,
      "x2": 294.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002832"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001409.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 171.5,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002833"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001409.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.5,
      "y1": 171.5,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002833"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001411.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002834"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001411.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 172.0,
      "x2": 294.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002834"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001413.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 171.5,
      "x2": 292.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002835"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001413.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 171.5,
      "x2": 292.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002835"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001415.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 172.5,
      "x2": 291.0,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002836"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001415.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 205.0,
      "y1": 172.5,
      "x2": 291.0,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002836"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001416.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 199.0,
      "y1": 173.0,
      "x2": 290.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002837"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001416.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 199.0,
      "y1": 173.0,
      "x2": 290.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002837"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001419.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 173.5,
      "x2": 294.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002838"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001419.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 184.0,
      "y1": 173.5,
      "x2": 294.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002838"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001422.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002839"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001422.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.5,
      "y1": 206.0,
      "x2": 246.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002839"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001424.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 247.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002840"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001424.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 206.5,
      "x2": 247.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002840"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001426.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 129.5,
      "y1": 207.5,
      "x2": 239.5,
      "y2": 281.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002841"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001426.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 129.5,
      "y1": 207.5,
      "x2": 239.5,
      "y2": 281.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002841"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001430.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 118.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 283.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002842"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001430.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 118.5,
      "y1": 206.0,
      "x2": 234.0,
      "y2": 283.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002842"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001436.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 203.5,
      "x2": 581.0,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002843"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001436.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 203.5,
      "x2": 581.0,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002843"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001437.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 203.5,
      "x2": 590.0,
      "y2": 310.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002844"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001437.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 203.5,
      "x2": 590.0,
      "y2": 310.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002844"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001439.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 204.0,
      "x2": 595.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002845"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001439.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.0,
      "y1": 204.0,
      "x2": 595.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002845"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001442.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002846"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001442.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002846"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001447.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 586.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002847"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001447.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 586.5,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002847"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001449.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002848"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001449.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002848"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001452.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002849"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001452.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 192.5,
      "x2": 501.0,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002849"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001454.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 194.5,
      "x2": 500.5,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002850"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001454.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 194.5,
      "x2": 500.5,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002850"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001455.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 194.5,
      "x2": 505.5,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002851"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001455.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 194.5,
      "x2": 505.5,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002851"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001459.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 197.0,
      "x2": 512.0,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002852"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001459.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 197.0,
      "x2": 512.0,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002852"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001461.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 454.5,
      "y1": 186.0,
      "x2": 522.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002853"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001461.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 454.5,
      "y1": 186.0,
      "x2": 522.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002853"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001462.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 197.5,
      "x2": 420.0,
      "y2": 356.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002854"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001462.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 197.5,
      "x2": 420.0,
      "y2": 356.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002854"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001463.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 196.0,
      "x2": 411.0,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002855"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001463.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 196.0,
      "x2": 411.0,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002855"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001464.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 255.0,
      "y1": 197.0,
      "x2": 406.0,
      "y2": 337.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002856"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001464.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 255.0,
      "y1": 197.0,
      "x2": 406.0,
      "y2": 337.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002856"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001466.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 257.0,
      "y1": 197.0,
      "x2": 411.0,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002857"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001466.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 257.0,
      "y1": 197.0,
      "x2": 411.0,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002857"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001467.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 245.5,
      "y1": 197.0,
      "x2": 411.5,
      "y2": 351.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002858"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001467.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 245.5,
      "y1": 197.0,
      "x2": 411.5,
      "y2": 351.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002858"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001468.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 196.5,
      "x2": 422.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002859"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001468.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 196.5,
      "x2": 422.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002859"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001469.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 196.5,
      "x2": 423.0,
      "y2": 365.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002860"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001469.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 237.0,
      "y1": 196.5,
      "x2": 423.0,
      "y2": 365.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002860"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001472.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.0,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002861"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001472.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 12.0,
      "y1": 172.0,
      "x2": 223.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002861"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001473.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 13.0,
      "y1": 172.5,
      "x2": 221.5,
      "y2": 320.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002862"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001473.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 13.0,
      "y1": 172.5,
      "x2": 221.5,
      "y2": 320.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002862"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001475.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 174.0,
      "x2": 221.5,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002863"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001475.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 11.0,
      "y1": 174.0,
      "x2": 221.5,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002863"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001476.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 173.5,
      "x2": 218.0,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002864"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001476.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 173.5,
      "x2": 218.0,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002864"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001478.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 207.0,
      "y2": 343.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002865"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001478.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 207.0,
      "y2": 343.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002865"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001484.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 173.0,
      "x2": 287.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002866"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001484.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 173.0,
      "x2": 287.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002866"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001485.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 173.5,
      "x2": 287.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002867"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001485.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 193.0,
      "y1": 173.5,
      "x2": 287.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002867"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001486.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 176.5,
      "x2": 289.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002868"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001486.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 176.5,
      "x2": 289.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002868"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001490.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 32.0,
      "y1": 153.0,
      "x2": 234.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002869"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001490.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 32.0,
      "y1": 153.0,
      "x2": 234.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002869"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001491.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 152.0,
      "x2": 203.0,
      "y2": 392.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002870"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001491.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 152.0,
      "x2": 203.0,
      "y2": 392.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002870"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001492.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 155.5,
      "x2": 159.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002871"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001492.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 155.5,
      "x2": 159.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002871"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001493.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 590.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002872"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001493.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 590.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002872"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001494.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 597.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002873"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001494.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 597.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002873"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001495.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 592.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002874"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001495.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 592.0,
      "y1": 206.0,
      "x2": 639.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002874"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001498.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 205.5,
      "x2": 232.5,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002875"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001498.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 205.5,
      "x2": 232.5,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002875"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001500.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 211.5,
      "x2": 223.0,
      "y2": 301.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002876"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001500.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 211.5,
      "x2": 223.0,
      "y2": 301.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002876"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001505.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 197.0,
      "x2": 409.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002877"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001505.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 255.5,
      "y1": 197.0,
      "x2": 409.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002877"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001506.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 271.0,
      "y1": 198.5,
      "x2": 399.0,
      "y2": 317.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002878"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001506.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 271.0,
      "y1": 198.5,
      "x2": 399.0,
      "y2": 317.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002878"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001510.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 193.5,
      "x2": 396.0,
      "y2": 300.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002879"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001510.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 193.5,
      "x2": 396.0,
      "y2": 300.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002879"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001514.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 204.0,
      "y2": 347.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002880"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001514.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 171.0,
      "x2": 204.0,
      "y2": 347.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002880"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001516.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.5,
      "x2": 201.5,
      "y2": 356.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002881"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001516.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 174.5,
      "x2": 201.5,
      "y2": 356.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002881"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001520.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 204.5,
      "x2": 590.0,
      "y2": 311.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002882"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001520.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.5,
      "y1": 204.5,
      "x2": 590.0,
      "y2": 311.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002882"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001523.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 200.0,
      "x2": 475.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002883"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001523.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 200.0,
      "x2": 475.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002883"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001524.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 197.5,
      "x2": 345.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002884"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001524.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 197.5,
      "x2": 345.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002884"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001525.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 113.0,
      "y1": 196.5,
      "x2": 280.0,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002885"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001525.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 113.0,
      "y1": 196.5,
      "x2": 280.0,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002885"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001534.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 181.5,
      "x2": 280.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002886"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001534.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 188.5,
      "y1": 181.5,
      "x2": 280.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002886"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001535.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 184.0,
      "x2": 506.0,
      "y2": 266.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002887"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001535.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 184.0,
      "x2": 506.0,
      "y2": 266.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002887"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001536.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 175.5,
      "x2": 15.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002888"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001536.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 175.5,
      "x2": 15.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002888"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001537.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 193.5,
      "x2": 177.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002889"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001537.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 193.5,
      "x2": 177.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002889"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001538.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 189.5,
      "x2": 298.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002890"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001538.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 189.5,
      "x2": 298.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002890"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001539.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 183.5,
      "x2": 423.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002891"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001539.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.0,
      "y1": 183.5,
      "x2": 423.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002891"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001540.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 188.5,
      "x2": 513.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002892"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001540.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 188.5,
      "x2": 513.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002892"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001541.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 173.5,
      "x2": 593.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002893"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001541.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 173.5,
      "x2": 593.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002893"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001542.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 177.0,
      "x2": 476.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002894"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001542.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 177.0,
      "x2": 476.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002894"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001543.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 179.0,
      "x2": 520.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002895"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001543.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 179.0,
      "x2": 520.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002895"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001547.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.0,
      "x2": 161.5,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002896"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001547.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.0,
      "x2": 161.5,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002896"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001548.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 115.0,
      "y1": 200.0,
      "x2": 185.5,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002897"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001548.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 115.0,
      "y1": 200.0,
      "x2": 185.5,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002897"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001552.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 51.5,
      "y1": 198.0,
      "x2": 212.5,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002898"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001552.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 51.5,
      "y1": 198.0,
      "x2": 212.5,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002898"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001555.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 195.0,
      "x2": 247.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002899"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001555.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 195.0,
      "x2": 247.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002899"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001556.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 197.0,
      "x2": 208.0,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002900"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001556.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 27.0,
      "y1": 197.0,
      "x2": 208.0,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002900"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001557.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 193.0,
      "x2": 494.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002901"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001557.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 193.0,
      "x2": 494.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002901"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001561.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 3.0,
      "y1": 213.5,
      "x2": 174.5,
      "y2": 325.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002902"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001561.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 3.0,
      "y1": 213.5,
      "x2": 174.5,
      "y2": 325.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002902"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001562.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 192.5,
      "x2": 235.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002903"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001562.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 192.5,
      "x2": 235.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002903"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001565.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 205.0,
      "x2": 225.0,
      "y2": 271.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002904"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001565.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 205.0,
      "x2": 225.0,
      "y2": 271.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002904"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001566.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 173.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002905"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001566.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.0,
      "x2": 173.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002905"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001568.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 203.0,
      "x2": 627.0,
      "y2": 280.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002906"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001568.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 203.0,
      "x2": 627.0,
      "y2": 280.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002906"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001570.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 195.0,
      "x2": 545.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002907"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001570.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 195.0,
      "x2": 545.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002907"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001574.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 186.0,
      "x2": 489.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002908"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001574.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 186.0,
      "x2": 489.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002908"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001575.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 179.0,
      "x2": 535.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002909"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001575.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 179.0,
      "x2": 535.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002909"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001576.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 500.5,
      "y1": 185.5,
      "x2": 628.5,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002910"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001576.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.5,
      "y1": 185.5,
      "x2": 628.5,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002910"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001580.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 390.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002911"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001580.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 390.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002911"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001584.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 194.5,
      "x2": 516.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002912"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001584.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 194.5,
      "x2": 516.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002912"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001585.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 189.0,
      "x2": 563.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002913"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001585.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 189.0,
      "x2": 563.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002913"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001588.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 196.0,
      "x2": 533.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002914"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001588.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 196.0,
      "x2": 533.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002914"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001589.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 521.5,
      "y1": 203.0,
      "x2": 631.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002915"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001589.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 521.5,
      "y1": 203.0,
      "x2": 631.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002915"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001590.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 201.0,
      "x2": 517.0,
      "y2": 242.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002916"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001590.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.0,
      "y1": 201.0,
      "x2": 517.0,
      "y2": 242.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002916"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001593.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 163.5,
      "x2": 391.0,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002917"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001593.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 163.5,
      "x2": 391.0,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002917"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001594.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 162.0,
      "x2": 343.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002918"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001594.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 162.0,
      "x2": 343.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002918"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001598.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 173.5,
      "x2": 245.5,
      "y2": 192.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002919"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001598.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 194.0,
      "y1": 173.5,
      "x2": 245.5,
      "y2": 192.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002919"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001599.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 185.0,
      "x2": 305.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002920"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001599.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 247.5,
      "y1": 185.0,
      "x2": 305.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002920"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001600.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 223.0,
      "y1": 179.0,
      "x2": 296.5,
      "y2": 205.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002921"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001600.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 223.0,
      "y1": 179.0,
      "x2": 296.5,
      "y2": 205.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002921"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001602.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 149.5,
      "y1": 89.5,
      "x2": 421.5,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002922"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001602.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 149.5,
      "y1": 89.5,
      "x2": 421.5,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002922"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001603.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 9.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002923"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001603.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 375.5,
      "y1": 9.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002923"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001604.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 182.0,
      "x2": 15.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002924"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001604.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 182.0,
      "x2": 15.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002924"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001605.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.5,
      "x2": 55.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002925"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001605.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 184.5,
      "x2": 55.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002925"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001607.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 164.0,
      "x2": 593.0,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002926"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001607.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 164.0,
      "x2": 593.0,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002926"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001608.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 158.5,
      "x2": 89.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002927"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001608.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 158.5,
      "x2": 89.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002927"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001609.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 179.0,
      "x2": 254.0,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002928"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001609.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 179.0,
      "x2": 254.0,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002928"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001614.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 180.5,
      "y1": 171.5,
      "x2": 245.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002929"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001614.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 180.5,
      "y1": 171.5,
      "x2": 245.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002929"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001616.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 172.5,
      "x2": 244.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002930"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001616.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 172.5,
      "x2": 244.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002930"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001617.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 172.5,
      "x2": 245.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002931"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001617.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 172.5,
      "x2": 245.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002931"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001618.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 172.5,
      "x2": 246.0,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002932"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001618.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.5,
      "y1": 172.5,
      "x2": 246.0,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002932"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001619.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 180.5,
      "y1": 173.0,
      "x2": 246.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002933"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001619.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 180.5,
      "y1": 173.0,
      "x2": 246.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002933"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001622.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 176.0,
      "x2": 244.5,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002934"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001622.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 181.0,
      "y1": 176.0,
      "x2": 244.5,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002934"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001623.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 177.0,
      "x2": 243.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002935"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001623.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 177.0,
      "x2": 243.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002935"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001624.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 13.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002936"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001624.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 13.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002936"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001628.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 128.5,
      "x2": 561.0,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002937"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001628.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 385.5,
      "y1": 128.5,
      "x2": 561.0,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002937"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001630.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 382.0,
      "y1": 136.0,
      "x2": 506.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002938"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001630.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 382.0,
      "y1": 136.0,
      "x2": 506.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002938"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001631.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 139.0,
      "x2": 484.5,
      "y2": 241.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002939"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001631.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 139.0,
      "x2": 484.5,
      "y2": 241.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002939"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001632.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 147.5,
      "x2": 463.5,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002940"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001632.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.0,
      "y1": 147.5,
      "x2": 463.5,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002940"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001635.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 183.0,
      "x2": 221.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002941"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001635.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 143.5,
      "y1": 183.0,
      "x2": 221.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002941"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001636.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 111.0,
      "y1": 182.0,
      "x2": 206.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002942"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001636.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 111.0,
      "y1": 182.0,
      "x2": 206.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002942"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001638.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.5,
      "x2": 129.5,
      "y2": 277.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002943"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001638.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 169.5,
      "x2": 129.5,
      "y2": 277.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002943"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001640.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 170.5,
      "x2": 501.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002944"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001640.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 170.5,
      "x2": 501.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002944"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001641.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 166.0,
      "x2": 531.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002945"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001641.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 166.0,
      "x2": 531.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002945"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001642.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 166.5,
      "x2": 563.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002946"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001642.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 166.5,
      "x2": 563.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002946"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001643.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 159.0,
      "x2": 438.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002947"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001643.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.0,
      "y1": 159.0,
      "x2": 438.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002947"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001646.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 590.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002948"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001646.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 590.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002948"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001652.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 573.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002949"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001652.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 573.5,
      "y1": 218.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002949"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001654.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 202.0,
      "x2": 528.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002950"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001654.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 428.0,
      "y1": 202.0,
      "x2": 528.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002950"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001658.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 195.0,
      "x2": 428.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002951"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001658.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 360.0,
      "y1": 195.0,
      "x2": 428.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002951"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001660.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 543.0,
      "y1": 223.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002952"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001660.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 543.0,
      "y1": 223.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002952"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001664.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 325.5,
      "y1": 191.5,
      "x2": 389.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002953"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001664.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 325.5,
      "y1": 191.5,
      "x2": 389.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002953"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001667.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002954"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001667.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 218.5,
      "x2": 639.5,
      "y2": 356.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002954"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001669.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002955"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001669.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 203.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002955"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001672.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 193.0,
      "x2": 416.5,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002956"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001672.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 193.0,
      "x2": 416.5,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002956"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001674.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 481.5,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002957"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001674.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 481.5,
      "y1": 219.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002957"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001675.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 209.5,
      "x2": 580.0,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002958"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001675.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 209.5,
      "x2": 580.0,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002958"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001676.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 197.5,
      "x2": 462.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002959"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001676.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 197.5,
      "x2": 462.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002959"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001677.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.0,
      "y1": 197.0,
      "x2": 444.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002960"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001677.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.0,
      "y1": 197.0,
      "x2": 444.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002960"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001679.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 199.0,
      "x2": 480.5,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002961"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001679.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 199.0,
      "x2": 480.5,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002961"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001680.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 198.5,
      "x2": 464.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002962"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001680.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 198.5,
      "x2": 464.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002962"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001684.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 196.5,
      "x2": 444.0,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002963"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001684.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 392.5,
      "y1": 196.5,
      "x2": 444.0,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002963"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001685.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 190.5,
      "x2": 404.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002964"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001685.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 190.5,
      "x2": 404.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002964"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001688.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 403.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002965"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001688.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 403.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002965"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001689.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 402.5,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002966"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001689.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 191.0,
      "x2": 402.5,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002966"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001693.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 331.0,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002967"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001693.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 331.0,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002967"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001694.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002968"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001694.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.5,
      "x2": 402.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002968"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001697.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002969"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001697.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 191.0,
      "x2": 402.0,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002969"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001698.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 190.0,
      "x2": 398.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002970"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001698.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 330.5,
      "y1": 190.0,
      "x2": 398.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002970"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001699.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 328.0,
      "y1": 190.0,
      "x2": 395.5,
      "y2": 242.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002971"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001699.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 328.0,
      "y1": 190.0,
      "x2": 395.5,
      "y2": 242.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002971"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001700.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 190.5,
      "x2": 389.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002972"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001700.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 190.5,
      "x2": 389.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002972"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001701.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 190.0,
      "x2": 385.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002973"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001701.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 332.0,
      "y1": 190.0,
      "x2": 385.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002973"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001703.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 193.5,
      "x2": 529.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002974"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001703.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 424.0,
      "y1": 193.5,
      "x2": 529.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002974"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001704.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 190.5,
      "x2": 454.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002975"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001704.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 398.0,
      "y1": 190.5,
      "x2": 454.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002975"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001705.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 191.0,
      "x2": 376.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002976"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001705.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 323.0,
      "y1": 191.0,
      "x2": 376.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002976"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001710.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 191.5,
      "x2": 382.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002977"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001710.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 191.5,
      "x2": 382.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002977"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001711.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 192.0,
      "x2": 391.5,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002978"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001711.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 192.0,
      "x2": 391.5,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002978"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001713.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 193.5,
      "x2": 398.5,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002979"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001713.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 193.5,
      "x2": 398.5,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002979"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001714.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 400.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002980"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001714.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 400.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002980"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001715.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.5,
      "x2": 398.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002981"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001715.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.5,
      "x2": 398.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002981"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001717.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002982"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001717.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002982"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001720.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 194.0,
      "x2": 433.0,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002983"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001720.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.0,
      "y1": 194.0,
      "x2": 433.0,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002983"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001723.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 308.5,
      "y1": 198.0,
      "x2": 487.0,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002984"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001723.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.5,
      "y1": 198.0,
      "x2": 487.0,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002984"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001724.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002985"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001724.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002985"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001725.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.5,
      "x2": 486.5,
      "y2": 370.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002986"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001725.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.5,
      "x2": 486.5,
      "y2": 370.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002986"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001726.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 198.0,
      "x2": 485.5,
      "y2": 368.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002987"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001726.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 198.0,
      "x2": 485.5,
      "y2": 368.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002987"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001730.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 187.5,
      "x2": 548.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002988"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001730.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 187.5,
      "x2": 548.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002988"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001732.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 284.5,
      "y1": 183.5,
      "x2": 366.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002989"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001732.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 284.5,
      "y1": 183.5,
      "x2": 366.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002989"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001735.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 186.5,
      "x2": 508.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002990"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001735.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 186.5,
      "x2": 508.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002990"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001736.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 181.0,
      "x2": 396.5,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002991"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001736.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 181.0,
      "x2": 396.5,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002991"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001739.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 551.0,
      "y1": 191.5,
      "x2": 632.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002992"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001739.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 551.0,
      "y1": 191.5,
      "x2": 632.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002992"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001745.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 174.5,
      "x2": 117.0,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002993"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001745.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 174.5,
      "x2": 117.0,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002993"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001746.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002994"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001746.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002994"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001747.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002995"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001747.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.5,
      "y1": 195.5,
      "x2": 399.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002995"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001749.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002996"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001749.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002996"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001756.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 198.0,
      "x2": 489.0,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002997"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001756.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001756.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.0,
      "y1": 198.0,
      "x2": 489.0,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002997"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001757.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002998"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001757.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001757.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002998"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001758.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.5,
      "x2": 484.5,
      "y2": 369.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:002999"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001758.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001758.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 198.5,
      "x2": 484.5,
      "y2": 369.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:002999"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001763.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003000"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001763.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001763.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003000"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001764.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003001"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001764.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001764.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003001"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001766.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 189.0,
      "x2": 533.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003002"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001766.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001766.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 189.0,
      "x2": 533.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003002"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001769.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003003"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001769.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001769.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 192.5,
      "x2": 639.5,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003003"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001770.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 192.5,
      "x2": 622.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003004"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001770.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001770.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 192.5,
      "x2": 622.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003004"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001771.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 506.5,
      "y1": 191.5,
      "x2": 589.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003005"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001771.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001771.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 506.5,
      "y1": 191.5,
      "x2": 589.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003005"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001773.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.5,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003006"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001773.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001773.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.5,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003006"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001775.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 84.5,
      "y1": 174.5,
      "x2": 177.5,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003007"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001775.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001775.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 84.5,
      "y1": 174.5,
      "x2": 177.5,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003007"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001778.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 177.0,
      "x2": 273.0,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003008"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001778.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001778.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 165.5,
      "y1": 177.0,
      "x2": 273.0,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003008"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001781.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 195.5,
      "y1": 176.5,
      "x2": 302.5,
      "y2": 215.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003009"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001781.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001781.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.5,
      "y1": 176.5,
      "x2": 302.5,
      "y2": 215.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003009"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001782.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 183.0,
      "x2": 348.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003010"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001782.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001782.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 183.0,
      "x2": 348.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003010"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001786.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 177.0,
      "x2": 553.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003011"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001786.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001786.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 177.0,
      "x2": 553.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003011"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001789.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 167.5,
      "x2": 297.0,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003012"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001789.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001789.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 183.5,
      "y1": 167.5,
      "x2": 297.0,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003012"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001790.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 327.0,
      "y1": 187.0,
      "x2": 410.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003013"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001790.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001790.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 327.0,
      "y1": 187.0,
      "x2": 410.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003013"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001791.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 181.5,
      "x2": 185.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003014"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001791.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001791.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 181.5,
      "x2": 185.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003014"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001792.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 238.5,
      "y1": 178.5,
      "x2": 362.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003015"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001792.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001792.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 238.5,
      "y1": 178.5,
      "x2": 362.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003015"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001793.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 586.0,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003016"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001793.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001793.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 586.0,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003016"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001795.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 194.5,
      "x2": 639.5,
      "y2": 340.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003017"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001795.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001795.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.0,
      "y1": 194.5,
      "x2": 639.5,
      "y2": 340.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003017"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001796.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 194.0,
      "x2": 619.5,
      "y2": 318.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003018"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001796.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001796.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 194.0,
      "x2": 619.5,
      "y2": 318.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003018"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001797.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003019"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001797.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001797.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 51.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003019"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001798.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 178.0,
      "x2": 181.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003020"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001798.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001798.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 84.0,
      "y1": 178.0,
      "x2": 181.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003020"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001800.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.0,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003021"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001800.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001800.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.0,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003021"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001803.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003022"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001803.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001803.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003022"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001805.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003023"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001805.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001805.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003023"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001807.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003024"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001807.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001807.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003024"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001809.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 67.0,
      "y1": 157.5,
      "x2": 166.5,
      "y2": 199.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003025"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001809.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001809.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 67.0,
      "y1": 157.5,
      "x2": 166.5,
      "y2": 199.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003025"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001811.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 177.0,
      "x2": 316.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003026"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001811.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001811.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 177.0,
      "x2": 316.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003026"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001813.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 177.0,
      "x2": 315.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003027"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001813.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001813.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.5,
      "y1": 177.0,
      "x2": 315.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003027"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001815.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 177.0,
      "x2": 316.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003028"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001815.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001815.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 207.5,
      "y1": 177.0,
      "x2": 316.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003028"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001820.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003029"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001820.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001820.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003029"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001822.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003030"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001822.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001822.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 401.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003030"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001823.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.5,
      "x2": 401.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003031"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001823.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001823.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.5,
      "x2": 401.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003031"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001826.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003032"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001826.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001826.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003032"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001829.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 193.5,
      "x2": 603.5,
      "y2": 309.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003033"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001829.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001829.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 193.5,
      "x2": 603.5,
      "y2": 309.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003033"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001832.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003034"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001832.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001832.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003034"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001833.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 600.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003035"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001833.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001833.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 600.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003035"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001836.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003036"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001836.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001836.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003036"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001837.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003037"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001837.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001837.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003037"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001840.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 187.5,
      "x2": 217.5,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003038"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001840.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001840.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 187.5,
      "x2": 217.5,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003038"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001841.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 186.0,
      "x2": 386.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003039"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001841.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001841.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 186.0,
      "x2": 386.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003039"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001842.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 190.5,
      "x2": 512.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003040"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001842.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001842.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 431.0,
      "y1": 190.5,
      "x2": 512.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003040"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001843.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 184.5,
      "x2": 399.5,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003041"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001843.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001843.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 184.5,
      "x2": 399.5,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003041"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001844.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 185.0,
      "x2": 179.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003042"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001844.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001844.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 85.0,
      "y1": 185.0,
      "x2": 179.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003042"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001846.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 185.0,
      "x2": 259.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003043"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001846.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001846.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 185.0,
      "x2": 259.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003043"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001848.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 321.0,
      "y1": 184.5,
      "x2": 405.5,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003044"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001848.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001848.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 321.0,
      "y1": 184.5,
      "x2": 405.5,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003044"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001851.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 585.5,
      "y1": 192.0,
      "x2": 639.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003045"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001851.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001851.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 585.5,
      "y1": 192.0,
      "x2": 639.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003045"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001852.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 191.5,
      "x2": 635.0,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003046"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001852.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001852.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 560.0,
      "y1": 191.5,
      "x2": 635.0,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003046"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001854.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 190.0,
      "x2": 603.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003047"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001854.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001854.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 190.0,
      "x2": 603.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003047"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001855.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 169.0,
      "x2": 220.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003048"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001855.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001855.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 98.0,
      "y1": 169.0,
      "x2": 220.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003048"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001861.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003049"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001861.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001861.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003049"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001863.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003050"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001863.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001863.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 486.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003050"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001864.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003051"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001864.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001864.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 198.0,
      "x2": 484.5,
      "y2": 367.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003051"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001865.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 484.5,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003052"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001865.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001865.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 484.5,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003052"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001867.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003053"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001867.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001867.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003053"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001868.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.0,
      "x2": 603.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003054"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001868.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001868.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.0,
      "x2": 603.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003054"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001869.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003055"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001869.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001869.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003055"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001870.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 193.0,
      "x2": 602.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003056"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001870.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001870.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 193.0,
      "x2": 602.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003056"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001873.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003057"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001873.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001873.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 192.5,
      "x2": 601.0,
      "y2": 307.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003057"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001874.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003058"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001874.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001874.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003058"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001875.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 600.0,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003059"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001875.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001875.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 191.5,
      "x2": 600.0,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003059"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001876.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003060"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001876.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001876.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003060"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001877.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003061"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001877.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001877.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003061"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001878.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003062"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001878.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001878.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003062"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001880.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003063"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001880.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001880.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 195.5,
      "x2": 399.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003063"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001881.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 399.0,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003064"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001881.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001881.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 399.0,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003064"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001887.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 188.5,
      "x2": 528.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003065"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001887.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001887.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 188.5,
      "x2": 528.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003065"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001889.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 183.0,
      "x2": 352.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003066"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001889.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001889.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 265.5,
      "y1": 183.0,
      "x2": 352.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003066"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001890.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 113.0,
      "y2": 197.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003067"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001890.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001890.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 113.0,
      "y2": 197.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003067"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001891.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 114.0,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003068"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001891.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001891.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 114.0,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003068"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001893.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 590.0,
      "y1": 230.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003069"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001893.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001893.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 590.0,
      "y1": 230.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003069"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001894.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003070"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001894.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001894.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003070"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001897.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 549.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003071"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001897.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001897.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 549.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003071"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001901.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003072"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001901.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001901.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 112.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003072"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001902.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 538.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003073"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001902.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001902.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 538.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003073"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001903.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003074"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001903.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001903.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 215.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003074"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001905.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003075"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001905.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001905.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003075"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001908.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003076"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001908.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001908.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 532.5,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003076"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001912.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003077"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001912.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001912.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003077"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001915.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 196.0,
      "x2": 398.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003078"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001915.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001915.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 196.0,
      "x2": 398.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003078"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001918.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003079"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001918.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 196.0,
      "x2": 399.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003079"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001921.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003080"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001921.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001921.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003080"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001922.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003081"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001922.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001922.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 192.0,
      "x2": 602.0,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003081"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001925.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003082"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001925.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001925.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003082"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001928.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003083"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001928.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001928.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003083"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001935.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003084"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001935.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001935.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 197.5,
      "x2": 484.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003084"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001936.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003085"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001936.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001936.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 197.5,
      "x2": 485.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003085"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001937.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003086"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001937.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001937.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003086"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001941.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 366.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003087"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001941.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001941.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 307.5,
      "y1": 198.0,
      "x2": 485.0,
      "y2": 366.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003087"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001942.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 116.5,
      "y2": 199.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003088"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001942.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001942.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 174.0,
      "x2": 116.5,
      "y2": 199.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003088"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001943.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003089"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001943.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001943.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 50.5,
      "y1": 174.0,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003089"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001945.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003090"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001945.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001945.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003090"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001947.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 50.0,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003091"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001947.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001947.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 50.0,
      "y1": 173.5,
      "x2": 114.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003091"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001948.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003092"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001948.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001948.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003092"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001949.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003093"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001949.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001949.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 48.5,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003093"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001950.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 174.0,
      "x2": 116.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003094"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001950.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001950.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 52.0,
      "y1": 174.0,
      "x2": 116.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003094"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001951.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 199.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003095"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001951.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001951.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.0,
      "x2": 113.5,
      "y2": 199.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003095"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001952.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 575.5,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003096"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001952.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001952.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 575.5,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003096"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001955.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003097"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001955.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001955.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.5,
      "x2": 483.5,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003097"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001956.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003098"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001956.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001956.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.5,
      "y1": 197.5,
      "x2": 485.0,
      "y2": 366.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003098"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001960.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 197.0,
      "x2": 458.5,
      "y2": 335.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003099"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001960.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001960.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 197.0,
      "x2": 458.5,
      "y2": 335.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003099"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001966.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 195.5,
      "x2": 398.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003100"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001966.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001966.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 195.5,
      "x2": 398.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003100"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001967.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003101"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001967.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001967.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 195.5,
      "x2": 400.5,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003101"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001968.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 194.5,
      "x2": 394.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003102"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001968.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001968.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 194.5,
      "x2": 394.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003102"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001969.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 193.0,
      "x2": 396.0,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003103"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001969.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 193.0,
      "x2": 396.0,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003103"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001971.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 193.5,
      "x2": 384.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003104"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001971.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001971.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 193.5,
      "x2": 384.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003104"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001977.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003105"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001977.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001977.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 533.5,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003105"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001978.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003106"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001978.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001978.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003106"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001979.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 528.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003107"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001979.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001979.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 528.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003107"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001982.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003108"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001982.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001982.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 459.0,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 346.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003108"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001983.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 191.5,
      "x2": 602.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003109"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001983.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001983.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 191.5,
      "x2": 602.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003109"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001984.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 191.5,
      "x2": 601.0,
      "y2": 305.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003110"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001984.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001984.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 191.5,
      "x2": 601.0,
      "y2": 305.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003110"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001985.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 193.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003111"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001985.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001985.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 193.0,
      "x2": 601.5,
      "y2": 307.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003111"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001987.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 600.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003112"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001987.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001987.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 192.5,
      "x2": 600.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003112"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001988.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 192.5,
      "x2": 595.5,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003113"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001988.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001988.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 192.5,
      "x2": 595.5,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003113"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001995.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.5,
      "x2": 113.5,
      "y2": 198.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003114"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001995.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001995.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.0,
      "y1": 174.5,
      "x2": 113.5,
      "y2": 198.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003114"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001996.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 51.5,
      "y1": 174.0,
      "x2": 115.0,
      "y2": 198.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003115"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001996.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001996.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 51.5,
      "y1": 174.0,
      "x2": 115.0,
      "y2": 198.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003115"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001998.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 173.5,
      "x2": 113.5,
      "y2": 197.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003116"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001998.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001998.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 49.5,
      "y1": 173.5,
      "x2": 113.5,
      "y2": 197.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003116"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.5,
      "x2": 417.0,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003117"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002003.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.5,
      "x2": 417.0,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003117"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 195.5,
      "x2": 426.0,
      "y2": 336.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003118"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002004.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.0,
      "y1": 195.5,
      "x2": 426.0,
      "y2": 336.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003118"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 195.5,
      "x2": 462.5,
      "y2": 364.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003119"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002005.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 195.5,
      "x2": 462.5,
      "y2": 364.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003119"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 187.5,
      "x2": 353.0,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003120"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002008.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 273.0,
      "y1": 187.5,
      "x2": 353.0,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003120"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 234.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003121"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002011.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 561.0,
      "y1": 234.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003121"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 192.5,
      "x2": 566.5,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003122"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/002013.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/002013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 192.5,
      "x2": 566.5,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003122"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000037.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 344.5,
      "y1": 189.0,
      "x2": 484.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000037.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 344.5,
      "y1": 189.0,
      "x2": 484.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003123"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000244.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 195.5,
      "x2": 509.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000244.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.0,
      "y1": 195.5,
      "x2": 509.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003124"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000300.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 201.0,
      "x2": 571.0,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000300.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 201.0,
      "x2": 571.0,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003125"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000463.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 33.0,
      "y1": 172.0,
      "x2": 164.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000463.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 33.0,
      "y1": 172.0,
      "x2": 164.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003126"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000723.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 196.5,
      "x2": 459.0,
      "y2": 360.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000723.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 196.5,
      "x2": 459.0,
      "y2": 360.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003127"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000750.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 186.0,
      "x2": 413.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000750.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.5,
      "y1": 186.0,
      "x2": 413.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003128"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000918.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 188.0,
      "x2": 527.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000918.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000918.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 188.0,
      "x2": 527.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003129"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000920.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 78.5,
      "y1": 195.0,
      "x2": 131.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000920.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000920.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 78.5,
      "y1": 195.0,
      "x2": 131.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003130"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000969.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 205.0,
      "x2": 548.5,
      "y2": 263.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/000969.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/000969.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 205.0,
      "x2": 548.5,
      "y2": 263.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003131"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001152.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 193.0,
      "x2": 633.0,
      "y2": 321.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001152.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 441.0,
      "y1": 193.0,
      "x2": 633.0,
      "y2": 321.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003132"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001457.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.0,
      "x2": 510.5,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001457.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 420.0,
      "y1": 193.0,
      "x2": 510.5,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003133"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001586.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001586.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 593.0,
      "y1": 197.0,
      "x2": 639.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003134"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001712.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 193.5,
      "x2": 397.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001712.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 193.5,
      "x2": 397.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003135"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001784.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 180.5,
      "x2": 639.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001784.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001784.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 584.5,
      "y1": 180.5,
      "x2": 639.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003136"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001957.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 365.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003137"
  },
  {
    "image": "data/prediction/urban_day_ucity_small_loop/image/001957.jpg",
    "event": "data/prediction/urban_day_ucity_small_loop/event/001957.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.5,
      "y1": 197.5,
      "x2": 483.0,
      "y2": 365.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003137"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000000.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 231.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003138"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000000.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000000.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 507.0,
      "y1": 231.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003138"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000001.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003139"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000001.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000001.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 463.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003139"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000002.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 208.5,
      "x2": 638.0,
      "y2": 361.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003140"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000002.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000002.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 208.5,
      "x2": 638.0,
      "y2": 361.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003140"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000003.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 204.5,
      "x2": 572.5,
      "y2": 316.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003141"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000003.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000003.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 204.5,
      "x2": 572.5,
      "y2": 316.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003141"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000004.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 203.0,
      "x2": 542.5,
      "y2": 295.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003142"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000004.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000004.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.5,
      "y1": 203.0,
      "x2": 542.5,
      "y2": 295.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003142"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000005.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 201.0,
      "x2": 510.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003143"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000005.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000005.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 414.0,
      "y1": 201.0,
      "x2": 510.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003143"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000006.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003144"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000006.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000006.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 198.0,
      "x2": 472.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003144"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000007.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 204.5,
      "x2": 459.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003145"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000007.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000007.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 204.5,
      "x2": 459.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003145"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000008.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 336.5,
      "y1": 198.5,
      "x2": 423.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003146"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000008.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000008.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 336.5,
      "y1": 198.5,
      "x2": 423.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003146"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000009.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 192.0,
      "x2": 334.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003147"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000009.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000009.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 242.5,
      "y1": 192.0,
      "x2": 334.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003147"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000010.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 196.0,
      "x2": 235.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003148"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000010.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000010.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 196.0,
      "x2": 235.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003148"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000011.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 175.5,
      "x2": 565.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003149"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000011.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000011.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 512.0,
      "y1": 175.5,
      "x2": 565.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003149"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000012.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 177.5,
      "x2": 591.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003150"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000012.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000012.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 177.5,
      "x2": 591.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003150"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000013.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 177.0,
      "x2": 630.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003151"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000013.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000013.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 177.0,
      "x2": 630.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003151"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000014.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 179.5,
      "x2": 258.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003152"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000014.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000014.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.5,
      "y1": 179.5,
      "x2": 258.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003152"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000015.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 147.0,
      "y1": 175.0,
      "x2": 244.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003153"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000015.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000015.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 147.0,
      "y1": 175.0,
      "x2": 244.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003153"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000016.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 183.5,
      "x2": 244.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003154"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000016.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000016.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 183.5,
      "x2": 244.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003154"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000017.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 174.5,
      "x2": 223.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003155"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000017.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000017.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 174.5,
      "x2": 223.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003155"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000018.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 188.0,
      "x2": 184.5,
      "y2": 306.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003156"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000018.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000018.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 188.0,
      "x2": 184.5,
      "y2": 306.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003156"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000019.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 178.5,
      "x2": 371.5,
      "y2": 208.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003157"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000019.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000019.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 178.5,
      "x2": 371.5,
      "y2": 208.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003157"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000020.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 170.0,
      "x2": 361.0,
      "y2": 204.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003158"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000020.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000020.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 170.0,
      "x2": 361.0,
      "y2": 204.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003158"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000021.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 167.5,
      "x2": 331.0,
      "y2": 206.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003159"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000021.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000021.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 167.5,
      "x2": 331.0,
      "y2": 206.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003159"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000022.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 196.5,
      "y1": 158.5,
      "x2": 302.0,
      "y2": 201.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003160"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000022.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000022.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 196.5,
      "y1": 158.5,
      "x2": 302.0,
      "y2": 201.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003160"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000023.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 166.0,
      "x2": 254.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003161"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000023.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000023.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 131.0,
      "y1": 166.0,
      "x2": 254.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003161"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000024.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 159.5,
      "x2": 166.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003162"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000024.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000024.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 159.5,
      "x2": 166.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003162"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000025.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 85.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003163"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000025.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000025.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 162.0,
      "x2": 85.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003163"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000026.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 317.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003164"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000026.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000026.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 317.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003164"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000027.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 287.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003165"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000027.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000027.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 534.0,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 287.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003165"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000028.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 205.0,
      "x2": 619.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003166"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000028.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000028.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 205.0,
      "x2": 619.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003166"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000029.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 202.0,
      "x2": 595.0,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003167"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000029.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000029.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 202.0,
      "x2": 595.0,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003167"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000030.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 511.0,
      "y1": 205.5,
      "x2": 608.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003168"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000030.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000030.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 511.0,
      "y1": 205.5,
      "x2": 608.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003168"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000031.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 492.0,
      "y1": 202.5,
      "x2": 609.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003169"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000031.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000031.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 492.0,
      "y1": 202.5,
      "x2": 609.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003169"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000032.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 200.5,
      "x2": 598.0,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003170"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000032.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000032.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 200.5,
      "x2": 598.0,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003170"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000033.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 551.5,
      "y1": 193.0,
      "x2": 604.0,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003171"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000033.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000033.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 551.5,
      "y1": 193.0,
      "x2": 604.0,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003171"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000034.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 195.0,
      "x2": 215.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003172"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000034.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000034.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 195.0,
      "x2": 215.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003172"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000035.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 195.5,
      "x2": 222.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003173"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000035.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000035.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 139.0,
      "y1": 195.5,
      "x2": 222.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003173"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000036.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 194.0,
      "x2": 239.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003174"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000036.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000036.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 161.0,
      "y1": 194.0,
      "x2": 239.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003174"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000037.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 197.0,
      "x2": 300.5,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003175"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000037.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000037.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 235.0,
      "y1": 197.0,
      "x2": 300.5,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003175"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000038.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 358.0,
      "y1": 195.5,
      "x2": 418.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003176"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000038.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000038.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.0,
      "y1": 195.5,
      "x2": 418.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003176"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000039.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 200.0,
      "x2": 495.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003177"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000039.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000039.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 200.0,
      "x2": 495.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003177"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000040.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 195.0,
      "x2": 517.0,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003178"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000040.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000040.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 448.5,
      "y1": 195.0,
      "x2": 517.0,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003178"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000041.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 200.0,
      "x2": 581.0,
      "y2": 262.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003179"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000041.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000041.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 200.0,
      "x2": 581.0,
      "y2": 262.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003179"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000042.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 74.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003180"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000042.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000042.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 168.0,
      "x2": 74.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003180"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000043.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 167.5,
      "x2": 105.5,
      "y2": 220.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003181"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000043.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000043.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 3.5,
      "y1": 167.5,
      "x2": 105.5,
      "y2": 220.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003181"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000044.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 167.0,
      "x2": 165.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003182"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000044.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000044.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 68.0,
      "y1": 167.0,
      "x2": 165.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003182"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000045.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 186.5,
      "y1": 173.0,
      "x2": 255.5,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003183"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000045.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000045.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 186.5,
      "y1": 173.0,
      "x2": 255.5,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003183"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000046.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 334.0,
      "y1": 168.5,
      "x2": 398.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003184"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000046.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000046.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 334.0,
      "y1": 168.5,
      "x2": 398.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003184"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000047.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 162.0,
      "x2": 476.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003185"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000047.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000047.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 409.5,
      "y1": 162.0,
      "x2": 476.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003185"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000048.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 172.5,
      "x2": 482.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003186"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000048.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000048.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.5,
      "y1": 172.5,
      "x2": 482.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003186"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000049.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 164.5,
      "x2": 497.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003187"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000049.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000049.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 164.5,
      "x2": 497.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003187"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000050.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 157.5,
      "x2": 555.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003188"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000050.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000050.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 468.0,
      "y1": 157.5,
      "x2": 555.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003188"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000051.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 492.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 298.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003189"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000051.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000051.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 492.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 298.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003189"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000052.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 197.0,
      "x2": 350.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003190"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000052.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000052.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 197.0,
      "x2": 350.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003190"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000053.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 198.0,
      "x2": 442.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003191"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000053.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000053.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.5,
      "y1": 198.0,
      "x2": 442.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003191"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000054.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 201.5,
      "x2": 567.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003192"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000054.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000054.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.5,
      "y1": 201.5,
      "x2": 567.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003192"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000055.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 192.0,
      "x2": 376.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003193"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000055.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000055.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 192.0,
      "x2": 376.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003193"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000056.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 378.5,
      "y1": 190.5,
      "x2": 454.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003194"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000056.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000056.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 378.5,
      "y1": 190.5,
      "x2": 454.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003194"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000057.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 191.5,
      "x2": 526.5,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003195"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000057.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000057.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 408.0,
      "y1": 191.5,
      "x2": 526.5,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003195"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000058.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003196"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000058.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000058.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 199.0,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003196"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000059.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003197"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000059.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000059.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003197"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000060.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 192.0,
      "x2": 368.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003198"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000060.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000060.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 192.0,
      "x2": 368.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003198"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000061.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 197.5,
      "x2": 375.5,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003199"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000061.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000061.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 197.5,
      "x2": 375.5,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003199"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000062.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 301.0,
      "y1": 195.0,
      "x2": 387.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003200"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000062.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000062.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 301.0,
      "y1": 195.0,
      "x2": 387.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003200"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000063.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 202.5,
      "x2": 398.0,
      "y2": 299.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003201"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000063.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000063.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 202.5,
      "x2": 398.0,
      "y2": 299.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003201"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000064.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 205.0,
      "x2": 414.0,
      "y2": 326.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003202"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000064.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000064.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 205.0,
      "x2": 414.0,
      "y2": 326.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003202"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000065.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 483.0,
      "y1": 190.5,
      "x2": 553.0,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003203"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000065.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000065.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 483.0,
      "y1": 190.5,
      "x2": 553.0,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003203"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000066.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 191.0,
      "x2": 471.0,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003204"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000066.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000066.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 410.0,
      "y1": 191.0,
      "x2": 471.0,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003204"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000067.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 195.0,
      "x2": 522.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003205"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000067.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000067.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 421.0,
      "y1": 195.0,
      "x2": 522.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003205"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000068.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 196.0,
      "x2": 596.0,
      "y2": 303.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003206"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000068.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000068.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 443.0,
      "y1": 196.0,
      "x2": 596.0,
      "y2": 303.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003206"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000069.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 359.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003207"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000069.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000069.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 200.0,
      "x2": 639.5,
      "y2": 359.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003207"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000070.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003208"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000070.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000070.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003208"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000071.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 190.0,
      "x2": 441.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003209"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000071.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000071.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 190.0,
      "x2": 441.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003209"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000072.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 195.0,
      "x2": 463.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003210"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000072.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000072.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 195.0,
      "x2": 463.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003210"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000073.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 193.5,
      "x2": 496.5,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003211"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000073.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000073.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 193.5,
      "x2": 496.5,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003211"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000074.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 196.0,
      "x2": 533.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003212"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000074.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000074.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 196.0,
      "x2": 533.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003212"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000075.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 200.5,
      "x2": 571.5,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003213"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000075.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000075.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 200.5,
      "x2": 571.5,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003213"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000076.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 206.5,
      "x2": 607.0,
      "y2": 315.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003214"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000076.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000076.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.0,
      "y1": 206.5,
      "x2": 607.0,
      "y2": 315.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003214"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000077.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 204.5,
      "x2": 613.5,
      "y2": 317.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003215"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000077.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000077.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 204.5,
      "x2": 613.5,
      "y2": 317.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003215"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000078.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 204.5,
      "x2": 611.5,
      "y2": 317.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003216"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000078.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000078.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 204.5,
      "x2": 611.5,
      "y2": 317.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003216"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000079.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 206.0,
      "x2": 597.0,
      "y2": 312.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003217"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000079.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000079.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 206.0,
      "x2": 597.0,
      "y2": 312.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003217"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000080.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 203.5,
      "x2": 538.5,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003218"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000080.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000080.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 203.5,
      "x2": 538.5,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003218"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000081.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 202.5,
      "x2": 484.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003219"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000081.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000081.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 407.0,
      "y1": 202.5,
      "x2": 484.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003219"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000082.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 202.0,
      "x2": 471.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003220"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000082.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000082.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 202.0,
      "x2": 471.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003220"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000083.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 209.0,
      "x2": 424.0,
      "y2": 349.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003221"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000083.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000083.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 209.0,
      "x2": 424.0,
      "y2": 349.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003221"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000084.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 211.5,
      "x2": 427.0,
      "y2": 356.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003222"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000084.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000084.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 265.0,
      "y1": 211.5,
      "x2": 427.0,
      "y2": 356.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003222"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000085.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 210.5,
      "x2": 429.5,
      "y2": 355.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003223"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000085.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000085.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 264.5,
      "y1": 210.5,
      "x2": 429.5,
      "y2": 355.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003223"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000086.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 347.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003224"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000086.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000086.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 270.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 347.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003224"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000087.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 202.0,
      "x2": 403.0,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003225"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000087.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000087.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 287.0,
      "y1": 202.0,
      "x2": 403.0,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003225"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000088.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 301.0,
      "y1": 204.0,
      "x2": 385.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003226"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000088.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000088.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 301.0,
      "y1": 204.0,
      "x2": 385.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003226"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000089.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 204.0,
      "x2": 389.0,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003227"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000089.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000089.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 204.0,
      "x2": 389.0,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003227"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000090.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 203.0,
      "x2": 399.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003228"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000090.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000090.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 331.5,
      "y1": 203.0,
      "x2": 399.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003228"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000091.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 210.5,
      "x2": 401.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003229"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000091.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000091.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 333.5,
      "y1": 210.5,
      "x2": 401.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003229"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000092.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 339.5,
      "y1": 203.5,
      "x2": 411.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003230"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000092.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000092.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 339.5,
      "y1": 203.5,
      "x2": 411.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003230"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000093.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 538.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003231"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000093.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000093.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 538.0,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003231"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000094.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 541.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003232"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000094.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000094.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 541.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003232"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000095.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 540.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003233"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000095.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000095.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 540.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003233"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000096.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003234"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000096.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000096.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 537.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003234"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000097.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003235"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000097.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000097.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 514.0,
      "y1": 208.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003235"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000098.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003236"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000098.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000098.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.5,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003236"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000099.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 206.0,
      "x2": 634.0,
      "y2": 336.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003237"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000099.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000099.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 206.0,
      "x2": 634.0,
      "y2": 336.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003237"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000100.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 205.0,
      "x2": 609.0,
      "y2": 317.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003238"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000100.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000100.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 205.0,
      "x2": 609.0,
      "y2": 317.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003238"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000101.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 210.5,
      "x2": 611.5,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003239"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000101.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000101.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.5,
      "y1": 210.5,
      "x2": 611.5,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003239"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000102.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 477.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 325.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003240"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000102.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000102.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 477.0,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 325.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003240"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000103.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 200.5,
      "x2": 476.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003241"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000103.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000103.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 200.5,
      "x2": 476.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003241"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000104.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 548.5,
      "y1": 198.5,
      "x2": 600.0,
      "y2": 231.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003242"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000104.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000104.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 548.5,
      "y1": 198.5,
      "x2": 600.0,
      "y2": 231.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003242"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000105.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 197.0,
      "x2": 567.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003243"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000105.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000105.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 197.0,
      "x2": 567.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003243"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000106.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 390.5,
      "y1": 162.0,
      "x2": 442.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003244"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000106.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000106.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 390.5,
      "y1": 162.0,
      "x2": 442.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003244"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000107.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 159.0,
      "x2": 486.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003245"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000107.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000107.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 422.0,
      "y1": 159.0,
      "x2": 486.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003245"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000108.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 155.5,
      "x2": 516.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003246"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000108.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000108.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 155.5,
      "x2": 516.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003246"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000109.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 155.0,
      "x2": 518.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003247"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000109.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000109.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 445.0,
      "y1": 155.0,
      "x2": 518.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003247"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000110.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 155.0,
      "x2": 530.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003248"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000110.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000110.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 425.0,
      "y1": 155.0,
      "x2": 530.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003248"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000111.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 155.0,
      "x2": 520.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003249"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000111.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000111.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 403.5,
      "y1": 155.0,
      "x2": 520.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003249"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000112.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 152.5,
      "x2": 509.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003250"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000112.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000112.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 152.5,
      "x2": 509.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003250"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000113.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 149.0,
      "x2": 485.5,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003251"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000113.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000113.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 149.0,
      "x2": 485.5,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003251"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000114.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 146.5,
      "x2": 463.5,
      "y2": 240.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003252"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000114.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000114.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 252.0,
      "y1": 146.5,
      "x2": 463.5,
      "y2": 240.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003252"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000115.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 178.5,
      "y1": 145.5,
      "x2": 401.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003253"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000115.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000115.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 178.5,
      "y1": 145.5,
      "x2": 401.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003253"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000116.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 196.5,
      "x2": 501.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003254"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000116.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000116.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 433.5,
      "y1": 196.5,
      "x2": 501.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003254"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000117.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 196.5,
      "x2": 542.0,
      "y2": 251.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003255"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000117.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000117.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 467.0,
      "y1": 196.5,
      "x2": 542.0,
      "y2": 251.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003255"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000118.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 486.5,
      "y1": 196.0,
      "x2": 586.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003256"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000118.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000118.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 486.5,
      "y1": 196.0,
      "x2": 586.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003256"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000119.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 203.0,
      "x2": 442.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003257"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000119.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000119.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.0,
      "y1": 203.0,
      "x2": 442.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003257"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000120.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 204.0,
      "x2": 502.5,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003258"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000120.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000120.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 405.5,
      "y1": 204.0,
      "x2": 502.5,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003258"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000121.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 206.5,
      "x2": 574.0,
      "y2": 316.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003259"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000121.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000121.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 206.5,
      "x2": 574.0,
      "y2": 316.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003259"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000122.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 374.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003260"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000122.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000122.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 374.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003260"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000123.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 382.0,
      "y1": 193.5,
      "x2": 441.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003261"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000123.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000123.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 382.0,
      "y1": 193.5,
      "x2": 441.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003261"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000124.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 198.5,
      "x2": 456.5,
      "y2": 257.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003262"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000124.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000124.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 377.0,
      "y1": 198.5,
      "x2": 456.5,
      "y2": 257.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003262"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000125.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 201.5,
      "x2": 451.0,
      "y2": 269.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003263"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000125.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000125.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 367.5,
      "y1": 201.5,
      "x2": 451.0,
      "y2": 269.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003263"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000126.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 345.5,
      "y1": 204.0,
      "x2": 437.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003264"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000126.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000126.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 345.5,
      "y1": 204.0,
      "x2": 437.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003264"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000127.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 206.0,
      "x2": 426.5,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003265"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000127.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000127.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.5,
      "y1": 206.0,
      "x2": 426.5,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003265"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000128.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 324.5,
      "y1": 205.0,
      "x2": 418.0,
      "y2": 287.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003266"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000128.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000128.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 324.5,
      "y1": 205.0,
      "x2": 418.0,
      "y2": 287.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003266"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000129.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 206.0,
      "x2": 424.0,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003267"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000129.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000129.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 206.0,
      "x2": 424.0,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003267"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000130.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 208.5,
      "x2": 447.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003268"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000130.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000130.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 208.5,
      "x2": 447.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003268"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000131.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 362.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003269"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000131.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000131.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 529.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 362.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003269"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000132.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 190.5,
      "x2": 623.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003270"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000132.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000132.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 568.5,
      "y1": 190.5,
      "x2": 623.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003270"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000133.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 189.0,
      "x2": 580.0,
      "y2": 219.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003271"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000133.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000133.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 189.0,
      "x2": 580.0,
      "y2": 219.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003271"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000134.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003272"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000134.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000134.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 528.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003272"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000135.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003273"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000135.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000135.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 327.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003273"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000136.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 558.0,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 335.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003274"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000136.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000136.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 558.0,
      "y1": 213.0,
      "x2": 639.5,
      "y2": 335.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003274"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000137.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 331.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003275"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000137.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000137.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 544.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 331.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003275"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000138.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 507.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003276"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000138.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000138.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 507.5,
      "y1": 208.0,
      "x2": 639.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003276"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000139.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 199.5,
      "x2": 555.5,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003277"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000139.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000139.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 450.0,
      "y1": 199.5,
      "x2": 555.5,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003277"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000140.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 336.5,
      "y1": 195.5,
      "x2": 388.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003278"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000140.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000140.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 336.5,
      "y1": 195.5,
      "x2": 388.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003278"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000141.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 195.0,
      "x2": 370.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003279"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000141.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000141.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 195.0,
      "x2": 370.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003279"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000142.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 195.0,
      "x2": 359.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003280"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000142.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000142.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 195.0,
      "x2": 359.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003280"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000143.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 196.5,
      "x2": 353.0,
      "y2": 253.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003281"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000143.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000143.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 196.5,
      "x2": 353.0,
      "y2": 253.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003281"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000144.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 348.0,
      "y1": 195.5,
      "x2": 440.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003282"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000144.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000144.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 348.0,
      "y1": 195.5,
      "x2": 440.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003282"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000145.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 252.5,
      "y1": 196.0,
      "x2": 331.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003283"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000145.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000145.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 252.5,
      "y1": 196.0,
      "x2": 331.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003283"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000146.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 196.5,
      "x2": 308.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003284"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000146.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000146.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 223.5,
      "y1": 196.5,
      "x2": 308.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003284"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000147.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 198.5,
      "x2": 276.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003285"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000147.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000147.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 198.5,
      "x2": 276.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003285"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000148.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 137.0,
      "y1": 202.0,
      "x2": 226.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003286"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000148.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000148.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 137.0,
      "y1": 202.0,
      "x2": 226.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003286"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000149.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 200.5,
      "x2": 170.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003287"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000149.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000149.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 200.5,
      "x2": 170.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003287"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000150.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 200.0,
      "x2": 126.0,
      "y2": 255.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003288"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000150.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000150.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 37.5,
      "y1": 200.0,
      "x2": 126.0,
      "y2": 255.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003288"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000151.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 199.5,
      "x2": 110.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003289"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000151.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000151.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 23.0,
      "y1": 199.5,
      "x2": 110.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003289"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000152.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 32.5,
      "y1": 195.0,
      "x2": 117.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003290"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000152.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000152.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 32.5,
      "y1": 195.0,
      "x2": 117.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003290"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000153.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 198.5,
      "x2": 148.0,
      "y2": 255.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003291"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000153.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000153.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 59.5,
      "y1": 198.5,
      "x2": 148.0,
      "y2": 255.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003291"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000154.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 201.5,
      "x2": 210.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003292"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000154.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000154.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 201.5,
      "x2": 210.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003292"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000155.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003293"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000155.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000155.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 500.0,
      "y1": 216.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003293"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000156.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 206.5,
      "x2": 564.0,
      "y2": 310.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003294"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000156.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000156.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 399.0,
      "y1": 206.5,
      "x2": 564.0,
      "y2": 310.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003294"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000157.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 199.0,
      "x2": 418.0,
      "y2": 264.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003295"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000157.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000157.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 199.0,
      "x2": 418.0,
      "y2": 264.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003295"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000158.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 220.0,
      "y1": 201.0,
      "x2": 308.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003296"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000158.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000158.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 220.0,
      "y1": 201.0,
      "x2": 308.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003296"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000159.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 147.5,
      "x2": 332.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003297"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000159.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000159.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 126.5,
      "y1": 147.5,
      "x2": 332.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003297"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000160.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 89.5,
      "y1": 150.0,
      "x2": 253.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003298"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000160.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000160.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 89.5,
      "y1": 150.0,
      "x2": 253.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003298"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000161.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 212.5,
      "x2": 468.0,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003299"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000161.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000161.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 212.5,
      "x2": 468.0,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003299"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000162.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 217.0,
      "x2": 471.0,
      "y2": 396.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003300"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000162.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000162.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 217.0,
      "x2": 471.0,
      "y2": 396.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003300"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000163.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 217.0,
      "x2": 444.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003301"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000163.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000163.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 267.0,
      "y1": 217.0,
      "x2": 444.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003301"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000164.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 254.0,
      "y1": 214.0,
      "x2": 407.5,
      "y2": 355.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003302"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000164.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000164.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 254.0,
      "y1": 214.0,
      "x2": 407.5,
      "y2": 355.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003302"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000165.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 210.5,
      "x2": 378.5,
      "y2": 345.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003303"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000165.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000165.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 210.5,
      "x2": 378.5,
      "y2": 345.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003303"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000166.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 214.0,
      "x2": 353.0,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003304"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000166.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000166.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 185.0,
      "y1": 214.0,
      "x2": 353.0,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003304"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000167.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 213.5,
      "x2": 336.5,
      "y2": 352.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003305"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000167.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000167.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 213.5,
      "x2": 336.5,
      "y2": 352.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003305"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000168.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 209.5,
      "x2": 337.5,
      "y2": 343.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003306"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000168.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000168.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 163.5,
      "y1": 209.5,
      "x2": 337.5,
      "y2": 343.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003306"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000169.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 210.5,
      "x2": 353.5,
      "y2": 344.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003307"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000169.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000169.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 182.0,
      "y1": 210.5,
      "x2": 353.5,
      "y2": 344.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003307"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000170.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 211.5,
      "x2": 415.0,
      "y2": 354.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003308"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000170.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000170.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 234.5,
      "y1": 211.5,
      "x2": 415.0,
      "y2": 354.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003308"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000171.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 181.5,
      "x2": 360.5,
      "y2": 205.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003309"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000171.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000171.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 181.5,
      "x2": 360.5,
      "y2": 205.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003309"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000172.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 184.5,
      "x2": 368.5,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003310"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000172.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000172.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 297.0,
      "y1": 184.5,
      "x2": 368.5,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003310"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000173.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 187.5,
      "x2": 372.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003311"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000173.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000173.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 299.5,
      "y1": 187.5,
      "x2": 372.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003311"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000174.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 308.5,
      "y1": 192.5,
      "x2": 384.0,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003312"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000174.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000174.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 308.5,
      "y1": 192.5,
      "x2": 384.0,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003312"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000175.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 186.5,
      "x2": 401.0,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003313"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000175.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000175.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 323.5,
      "y1": 186.5,
      "x2": 401.0,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003313"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000176.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 190.0,
      "x2": 482.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003314"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000176.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000176.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 386.0,
      "y1": 190.0,
      "x2": 482.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003314"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000177.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 479.5,
      "y1": 189.0,
      "x2": 582.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003315"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000177.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000177.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 479.5,
      "y1": 189.0,
      "x2": 582.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003315"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000178.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 190.0,
      "x2": 304.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003316"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000178.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000178.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 246.5,
      "y1": 190.0,
      "x2": 304.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003316"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000179.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 191.5,
      "x2": 305.0,
      "y2": 214.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003317"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000179.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000179.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 243.0,
      "y1": 191.5,
      "x2": 305.0,
      "y2": 214.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003317"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000180.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 254.5,
      "y1": 193.5,
      "x2": 318.5,
      "y2": 217.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003318"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000180.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000180.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 254.5,
      "y1": 193.5,
      "x2": 318.5,
      "y2": 217.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003318"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000181.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 593.5,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003319"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000181.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000181.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 593.5,
      "y1": 199.5,
      "x2": 639.5,
      "y2": 343.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003319"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000182.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 200.0,
      "x2": 620.5,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003320"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000182.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000182.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 452.0,
      "y1": 200.0,
      "x2": 620.5,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003320"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000183.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 352.5,
      "y1": 196.0,
      "x2": 489.0,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003321"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000183.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000183.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 352.5,
      "y1": 196.0,
      "x2": 489.0,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003321"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000184.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 197.0,
      "x2": 397.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003322"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000184.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000184.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 197.0,
      "x2": 397.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003322"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000185.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 220.5,
      "y1": 193.5,
      "x2": 331.0,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003323"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000185.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000185.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 220.5,
      "y1": 193.5,
      "x2": 331.0,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003323"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000186.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 192.0,
      "x2": 283.5,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003324"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000186.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000186.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 192.0,
      "x2": 283.5,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003324"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000187.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 189.5,
      "x2": 239.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003325"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000187.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000187.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 189.5,
      "x2": 239.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003325"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000188.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 186.0,
      "x2": 213.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003326"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000188.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000188.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 136.0,
      "y1": 186.0,
      "x2": 213.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003326"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000189.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 161.0,
      "x2": 117.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003327"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000189.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000189.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 161.0,
      "x2": 117.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003327"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000190.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 161.5,
      "x2": 137.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003328"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000190.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000190.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 161.5,
      "x2": 137.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003328"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000191.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 163.5,
      "x2": 73.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003329"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000191.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000191.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 163.5,
      "x2": 73.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003329"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000192.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 193.5,
      "x2": 181.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003330"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000192.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000192.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 120.5,
      "y1": 193.5,
      "x2": 181.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003330"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000193.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 197.5,
      "x2": 566.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003331"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000193.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000193.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.5,
      "y1": 197.5,
      "x2": 566.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003331"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000194.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 193.0,
      "x2": 192.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003332"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000194.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000194.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 119.5,
      "y1": 193.0,
      "x2": 192.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003332"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000195.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 146.5,
      "y1": 192.0,
      "x2": 239.5,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003333"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000195.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000195.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B RIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 146.5,
      "y1": 192.0,
      "x2": 239.5,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003333"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000196.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 603.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003334"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000196.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000196.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 603.5,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003334"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000197.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 337.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003335"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000197.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000197.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 514.5,
      "y1": 201.0,
      "x2": 639.5,
      "y2": 337.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003335"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000198.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 318.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003336"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000198.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000198.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 318.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003336"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000199.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 193.0,
      "x2": 636.0,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003337"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000199.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000199.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 434.0,
      "y1": 193.0,
      "x2": 636.0,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003337"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000200.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 191.0,
      "x2": 599.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003338"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000200.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000200.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 418.5,
      "y1": 191.0,
      "x2": 599.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003338"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000201.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 194.5,
      "x2": 380.5,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003339"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000201.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000201.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 194.5,
      "x2": 380.5,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003339"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000202.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 193.5,
      "x2": 468.0,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003340"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000202.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000202.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 381.0,
      "y1": 193.5,
      "x2": 468.0,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003340"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000203.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 191.5,
      "x2": 595.0,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003341"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000203.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000203.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 498.0,
      "y1": 191.5,
      "x2": 595.0,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003341"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000204.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 188.5,
      "x2": 83.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003342"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000204.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000204.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 16.0,
      "y1": 188.5,
      "x2": 83.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003342"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000205.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 518.0,
      "y1": 229.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003343"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000205.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000205.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 518.0,
      "y1": 229.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003343"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000206.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 230.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003344"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000206.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000206.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 487.0,
      "y1": 230.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003344"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000207.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003345"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000207.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000207.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 475.0,
      "y1": 220.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003345"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000208.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003346"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000208.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000208.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 219.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003346"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000209.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 193.0,
      "x2": 315.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003347"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000209.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000209.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 224.0,
      "y1": 193.0,
      "x2": 315.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003347"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000210.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 186.5,
      "x2": 434.5,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003348"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000210.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000210.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 186.5,
      "x2": 434.5,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003348"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000211.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 190.5,
      "x2": 591.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003349"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000211.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000211.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 190.5,
      "x2": 591.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003349"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000212.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 187.5,
      "x2": 153.5,
      "y2": 216.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003350"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000212.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000212.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 90.0,
      "y1": 187.5,
      "x2": 153.5,
      "y2": 216.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003350"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000213.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 192.5,
      "x2": 281.5,
      "y2": 225.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003351"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000213.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000213.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 192.5,
      "x2": 281.5,
      "y2": 225.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003351"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000214.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 152.5,
      "x2": 49.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003352"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000214.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000214.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 152.5,
      "x2": 49.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003352"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000215.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 158.0,
      "x2": 81.5,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003353"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000215.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000215.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 158.0,
      "x2": 81.5,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003353"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000216.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 159.5,
      "x2": 144.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003354"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000216.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000216.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 34.5,
      "y1": 159.5,
      "x2": 144.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003354"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000217.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 201.0,
      "y1": 191.0,
      "x2": 292.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003355"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000217.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000217.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 201.0,
      "y1": 191.0,
      "x2": 292.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003355"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000218.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 194.0,
      "x2": 418.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003356"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000218.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000218.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 194.0,
      "x2": 418.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003356"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000219.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 193.0,
      "x2": 282.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003357"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000219.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000219.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 195.0,
      "y1": 193.0,
      "x2": 282.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003357"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000220.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 321.0,
      "y1": 196.0,
      "x2": 427.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003358"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000220.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000220.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 321.0,
      "y1": 196.0,
      "x2": 427.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003358"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000221.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 358.0,
      "y1": 193.5,
      "x2": 443.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003359"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000221.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000221.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 358.0,
      "y1": 193.5,
      "x2": 443.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003359"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000222.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 201.0,
      "x2": 302.5,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003360"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000222.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000222.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 201.0,
      "x2": 302.5,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003360"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000223.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 200.5,
      "x2": 414.0,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003361"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000223.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000223.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 200.5,
      "x2": 414.0,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003361"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000224.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 433.0,
      "y1": 202.0,
      "x2": 541.0,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003362"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000224.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000224.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 433.0,
      "y1": 202.0,
      "x2": 541.0,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003362"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000225.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003363"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000225.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000225.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 517.0,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003363"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000226.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 134.0,
      "y1": 160.5,
      "x2": 226.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003364"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000226.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000226.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 134.0,
      "y1": 160.5,
      "x2": 226.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003364"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000227.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 252.5,
      "y1": 159.5,
      "x2": 336.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003365"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000227.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000227.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 252.5,
      "y1": 159.5,
      "x2": 336.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003365"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000228.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 159.5,
      "x2": 446.0,
      "y2": 226.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003366"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000228.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000228.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 368.5,
      "y1": 159.5,
      "x2": 446.0,
      "y2": 226.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003366"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000229.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 163.0,
      "x2": 507.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003367"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000229.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000229.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.5,
      "y1": 163.0,
      "x2": 507.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003367"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000230.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 158.5,
      "x2": 521.5,
      "y2": 231.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003368"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000230.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000230.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 158.5,
      "x2": 521.5,
      "y2": 231.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003368"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000231.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 156.0,
      "x2": 537.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003369"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000231.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000231.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 444.0,
      "y1": 156.0,
      "x2": 537.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003369"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000232.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 158.0,
      "x2": 556.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003370"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000232.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000232.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 465.0,
      "y1": 158.0,
      "x2": 556.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003370"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000233.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 484.0,
      "y1": 163.5,
      "x2": 574.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003371"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000233.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000233.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 484.0,
      "y1": 163.5,
      "x2": 574.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003371"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000234.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 512.5,
      "y1": 163.0,
      "x2": 603.5,
      "y2": 240.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003372"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000234.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000234.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 512.5,
      "y1": 163.0,
      "x2": 603.5,
      "y2": 240.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003372"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000235.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 163.5,
      "x2": 638.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003373"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000235.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000235.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 163.5,
      "x2": 638.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003373"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000236.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 198.5,
      "x2": 590.5,
      "y2": 269.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003374"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000236.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000236.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 439.5,
      "y1": 198.5,
      "x2": 590.5,
      "y2": 269.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003374"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000237.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 198.5,
      "x2": 616.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003375"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000237.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000237.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 491.0,
      "y1": 198.5,
      "x2": 616.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003375"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000238.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 67.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003376"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000238.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000238.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 67.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003376"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000239.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 193.5,
      "x2": 122.5,
      "y2": 305.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003377"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000239.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000239.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 5.0,
      "y1": 193.5,
      "x2": 122.5,
      "y2": 305.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003377"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000240.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 214.0,
      "x2": 530.0,
      "y2": 372.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003378"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000240.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000240.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 214.0,
      "x2": 530.0,
      "y2": 372.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003378"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000241.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003379"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000241.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000241.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.0,
      "y1": 217.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003379"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000242.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 195.0,
      "x2": 288.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003380"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000242.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000242.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 227.0,
      "y1": 195.0,
      "x2": 288.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003380"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000243.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 141.5,
      "y1": 186.5,
      "x2": 262.0,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003381"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000243.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000243.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 141.5,
      "y1": 186.5,
      "x2": 262.0,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003381"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000244.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 195.5,
      "x2": 297.5,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003382"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000244.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000244.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 247.0,
      "y1": 195.5,
      "x2": 297.5,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003382"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000245.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 196.5,
      "x2": 282.5,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003383"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000245.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000245.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 198.0,
      "y1": 196.5,
      "x2": 282.5,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003383"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000246.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 201.5,
      "x2": 283.5,
      "y2": 251.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003384"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000246.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000246.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 212.0,
      "y1": 201.5,
      "x2": 283.5,
      "y2": 251.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003384"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000247.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 100.5,
      "y1": 208.0,
      "x2": 249.5,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003385"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000247.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000247.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 100.5,
      "y1": 208.0,
      "x2": 249.5,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003385"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000248.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 187.0,
      "x2": 263.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003386"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000248.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000248.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 151.5,
      "y1": 187.0,
      "x2": 263.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003386"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000249.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 180.0,
      "x2": 221.5,
      "y2": 221.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003387"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000249.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000249.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 118.0,
      "y1": 180.0,
      "x2": 221.5,
      "y2": 221.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003387"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000250.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 236.5,
      "y1": 199.5,
      "x2": 289.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003388"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000250.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000250.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 236.5,
      "y1": 199.5,
      "x2": 289.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003388"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000251.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 204.0,
      "x2": 265.5,
      "y2": 283.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003389"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000251.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000251.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 160.0,
      "y1": 204.0,
      "x2": 265.5,
      "y2": 283.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003389"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000252.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 190.5,
      "x2": 299.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003390"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000252.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000252.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 244.5,
      "y1": 190.5,
      "x2": 299.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003390"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000253.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 241.0,
      "y1": 191.0,
      "x2": 291.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003391"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000253.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000253.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.0,
      "y1": 191.0,
      "x2": 291.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003391"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000254.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 175.5,
      "y1": 194.0,
      "x2": 267.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003392"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000254.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000254.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 175.5,
      "y1": 194.0,
      "x2": 267.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003392"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000255.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 197.5,
      "x2": 292.0,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003393"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000255.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000255.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 238.0,
      "y1": 197.5,
      "x2": 292.0,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003393"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000256.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 148.0,
      "y1": 204.0,
      "x2": 262.5,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003394"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000256.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000256.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 148.0,
      "y1": 204.0,
      "x2": 262.5,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003394"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000257.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 165.5,
      "x2": 639.5,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003395"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000257.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000257.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 165.5,
      "x2": 639.5,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003395"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000258.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 162.5,
      "x2": 639.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003396"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000258.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000258.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 571.0,
      "y1": 162.5,
      "x2": 639.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003396"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000259.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 565.0,
      "y1": 164.0,
      "x2": 639.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003397"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000259.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000259.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 565.0,
      "y1": 164.0,
      "x2": 639.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003397"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000260.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 574.0,
      "y1": 158.0,
      "x2": 639.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003398"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000260.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000260.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 574.0,
      "y1": 158.0,
      "x2": 639.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003398"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000261.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 196.0,
      "y1": 202.5,
      "x2": 275.0,
      "y2": 264.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003399"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000261.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000261.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 196.0,
      "y1": 202.5,
      "x2": 275.0,
      "y2": 264.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003399"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000262.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 162.0,
      "x2": 428.5,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003400"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000262.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000262.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 372.5,
      "y1": 162.0,
      "x2": 428.5,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003400"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000263.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 368.0,
      "y1": 157.5,
      "x2": 446.5,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003401"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000263.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000263.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 368.0,
      "y1": 157.5,
      "x2": 446.5,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003401"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000264.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 147.5,
      "x2": 470.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003402"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000264.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000264.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 364.5,
      "y1": 147.5,
      "x2": 470.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003402"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000265.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 147.5,
      "x2": 473.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003403"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000265.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000265.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 147.5,
      "x2": 473.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003403"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000266.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 250.5,
      "y1": 144.5,
      "x2": 460.5,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003404"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000266.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000266.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 250.5,
      "y1": 144.5,
      "x2": 460.5,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003404"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000267.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 132.0,
      "x2": 405.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003405"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000267.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000267.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 159.5,
      "y1": 132.0,
      "x2": 405.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003405"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000268.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 110.0,
      "x2": 346.5,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003406"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000268.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000268.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 86.0,
      "y1": 110.0,
      "x2": 346.5,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003406"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000269.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 114.5,
      "x2": 366.5,
      "y2": 289.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003407"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000269.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000269.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 125.5,
      "y1": 114.5,
      "x2": 366.5,
      "y2": 289.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003407"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000270.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 120.5,
      "x2": 428.0,
      "y2": 294.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003408"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000270.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000270.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 209.5,
      "y1": 120.5,
      "x2": 428.0,
      "y2": 294.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003408"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000271.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 109.5,
      "x2": 549.5,
      "y2": 291.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003409"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000271.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000271.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 109.5,
      "x2": 549.5,
      "y2": 291.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003409"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000272.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 56.0,
      "y1": 179.0,
      "x2": 114.0,
      "y2": 202.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003410"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000272.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000272.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 56.0,
      "y1": 179.0,
      "x2": 114.0,
      "y2": 202.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003410"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000273.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 173.0,
      "x2": 64.0,
      "y2": 196.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003411"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000273.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000273.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 173.0,
      "x2": 64.0,
      "y2": 196.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003411"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000274.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 182.5,
      "x2": 210.0,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003412"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000274.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000274.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 152.0,
      "y1": 182.5,
      "x2": 210.0,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003412"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000275.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 194.5,
      "x2": 449.0,
      "y2": 239.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003413"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000275.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000275.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 194.5,
      "x2": 449.0,
      "y2": 239.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003413"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000276.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 192.0,
      "x2": 464.5,
      "y2": 247.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003414"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000276.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000276.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 396.5,
      "y1": 192.0,
      "x2": 464.5,
      "y2": 247.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003414"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000277.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 197.0,
      "x2": 503.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003415"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000277.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000277.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.5,
      "y1": 197.0,
      "x2": 503.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003415"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000278.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 199.5,
      "x2": 567.0,
      "y2": 300.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003416"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000278.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000278.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 199.5,
      "x2": 567.0,
      "y2": 300.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003416"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000279.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 186.0,
      "x2": 526.5,
      "y2": 229.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003417"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000279.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000279.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 186.0,
      "x2": 526.5,
      "y2": 229.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003417"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000280.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 19.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003418"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000280.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000280.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 19.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003418"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000281.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 89.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003419"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000281.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000281.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 190.0,
      "x2": 89.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003419"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000282.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 121.5,
      "y2": 341.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003420"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000282.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000282.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 203.5,
      "x2": 121.5,
      "y2": 341.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003420"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000283.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 88.5,
      "y1": 201.0,
      "x2": 165.0,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003421"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000283.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000283.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 88.5,
      "y1": 201.0,
      "x2": 165.0,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003421"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000284.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 205.0,
      "x2": 184.5,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003422"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000284.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000284.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 47.0,
      "y1": 205.0,
      "x2": 184.5,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003422"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000285.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 195.0,
      "x2": 503.0,
      "y2": 232.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003423"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000285.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000285.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.0,
      "y1": 195.0,
      "x2": 503.0,
      "y2": 232.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003423"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000286.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 195.5,
      "x2": 540.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003424"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000286.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000286.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 466.0,
      "y1": 195.5,
      "x2": 540.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003424"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000287.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 201.0,
      "x2": 599.0,
      "y2": 261.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003425"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000287.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000287.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 499.0,
      "y1": 201.0,
      "x2": 599.0,
      "y2": 261.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003425"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000288.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 542.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003426"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000288.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000288.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 542.0,
      "y1": 204.5,
      "x2": 639.5,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003426"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000289.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 191.5,
      "x2": 203.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003427"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000289.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000289.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 145.0,
      "y1": 191.5,
      "x2": 203.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003427"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000290.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 127.0,
      "y1": 187.0,
      "x2": 227.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003428"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000290.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000290.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 127.0,
      "y1": 187.0,
      "x2": 227.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003428"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000291.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 195.0,
      "x2": 172.0,
      "y2": 312.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003429"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000291.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000291.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 195.0,
      "x2": 172.0,
      "y2": 312.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003429"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000292.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 498.5,
      "y1": 191.5,
      "x2": 552.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003430"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000292.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000292.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 498.5,
      "y1": 191.5,
      "x2": 552.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003430"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000293.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 526.0,
      "y1": 192.5,
      "x2": 598.0,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003431"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000293.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000293.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 526.0,
      "y1": 192.5,
      "x2": 598.0,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003431"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000294.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 187.0,
      "x2": 276.0,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003432"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000294.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000294.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.5,
      "y1": 187.0,
      "x2": 276.0,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003432"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000295.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 189.5,
      "x2": 251.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003433"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000295.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000295.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 189.5,
      "x2": 251.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003433"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000296.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 105.5,
      "y1": 190.0,
      "x2": 224.0,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003434"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000296.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000296.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 105.5,
      "y1": 190.0,
      "x2": 224.0,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003434"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000297.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 195.5,
      "x2": 191.0,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003435"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000297.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000297.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 13.5,
      "y1": 195.5,
      "x2": 191.0,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003435"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000298.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 324.5,
      "y1": 192.5,
      "x2": 375.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003436"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000298.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000298.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 324.5,
      "y1": 192.5,
      "x2": 375.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003436"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000299.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 196.5,
      "x2": 386.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003437"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000299.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000299.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 322.5,
      "y1": 196.5,
      "x2": 386.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003437"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000300.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 201.0,
      "x2": 405.5,
      "y2": 278.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003438"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000300.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000300.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 201.0,
      "x2": 405.5,
      "y2": 278.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003438"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000301.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 187.0,
      "y1": 197.0,
      "x2": 243.5,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003439"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000301.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000301.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 187.0,
      "y1": 197.0,
      "x2": 243.5,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003439"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000302.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 196.5,
      "x2": 237.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003440"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000302.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000302.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 150.5,
      "y1": 196.5,
      "x2": 237.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003440"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000303.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 202.0,
      "x2": 187.5,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003441"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000303.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000303.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 54.5,
      "y1": 202.0,
      "x2": 187.5,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003441"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000304.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 209.5,
      "x2": 124.5,
      "y2": 352.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003442"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000304.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000304.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 209.5,
      "x2": 124.5,
      "y2": 352.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003442"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000305.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 189.0,
      "x2": 283.0,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003443"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000305.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000305.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 231.5,
      "y1": 189.0,
      "x2": 283.0,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003443"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000306.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 202.0,
      "y1": 187.5,
      "x2": 254.0,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003444"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000306.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000306.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 202.0,
      "y1": 187.5,
      "x2": 254.0,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003444"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000307.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 168.0,
      "y1": 192.5,
      "x2": 249.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003445"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000307.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000307.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 168.0,
      "y1": 192.5,
      "x2": 249.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003445"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000308.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 122.5,
      "y1": 190.5,
      "x2": 233.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003446"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000308.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000308.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 122.5,
      "y1": 190.5,
      "x2": 233.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003446"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000309.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 187.5,
      "x2": 538.0,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003447"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000309.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000309.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 187.5,
      "x2": 538.0,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003447"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000310.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 167.5,
      "x2": 550.0,
      "y2": 206.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003448"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000310.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000310.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 418.0,
      "y1": 167.5,
      "x2": 550.0,
      "y2": 206.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003448"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000311.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 167.0,
      "x2": 525.0,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003449"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000311.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000311.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 167.0,
      "x2": 525.0,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003449"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000312.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 412.0,
      "y1": 167.0,
      "x2": 488.5,
      "y2": 204.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003450"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000312.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000312.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 412.0,
      "y1": 167.0,
      "x2": 488.5,
      "y2": 204.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003450"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000313.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 62.5,
      "y1": 190.5,
      "x2": 219.5,
      "y2": 295.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003451"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000313.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000313.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 62.5,
      "y1": 190.5,
      "x2": 219.5,
      "y2": 295.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003451"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000314.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 26.0,
      "y1": 195.0,
      "x2": 209.5,
      "y2": 316.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003452"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000314.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000314.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 26.0,
      "y1": 195.0,
      "x2": 209.5,
      "y2": 316.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003452"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000315.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 201.0,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003453"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000315.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000315.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 201.0,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003453"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000316.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003454"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000316.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000316.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003454"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000317.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 196.5,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003455"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000317.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000317.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 196.5,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003455"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000318.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 196.0,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003456"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000318.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000318.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 196.0,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003456"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000319.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 196.5,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003457"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000319.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000319.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 196.5,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003457"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000320.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003458"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000320.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000320.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003458"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000321.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.0,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003459"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000321.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000321.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.0,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003459"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000322.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 197.0,
      "y2": 333.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003460"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000322.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000322.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 197.0,
      "y2": 333.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003460"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000323.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 208.5,
      "x2": 446.0,
      "y2": 323.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003461"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000323.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000323.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.0,
      "y1": 208.5,
      "x2": 446.0,
      "y2": 323.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003461"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000324.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 212.0,
      "x2": 467.0,
      "y2": 350.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003462"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000324.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000324.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 212.0,
      "x2": 467.0,
      "y2": 350.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003462"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000325.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 212.5,
      "x2": 484.0,
      "y2": 369.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003463"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000325.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000325.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 212.5,
      "x2": 484.0,
      "y2": 369.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003463"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000326.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 212.5,
      "x2": 490.5,
      "y2": 376.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003464"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000326.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000326.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 212.5,
      "x2": 490.5,
      "y2": 376.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003464"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000327.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 215.0,
      "x2": 487.0,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003465"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000327.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000327.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 215.0,
      "x2": 487.0,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003465"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000328.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 212.5,
      "x2": 491.0,
      "y2": 376.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003466"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000328.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000328.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 212.5,
      "x2": 491.0,
      "y2": 376.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003466"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000329.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.0,
      "x2": 491.0,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003467"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000329.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000329.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.0,
      "x2": 491.0,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003467"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000330.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 214.5,
      "x2": 489.5,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003468"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000330.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000330.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 214.5,
      "x2": 489.5,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003468"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000331.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 215.0,
      "x2": 490.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003469"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000331.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000331.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 215.0,
      "x2": 490.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003469"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000332.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 214.5,
      "x2": 492.5,
      "y2": 378.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003470"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000332.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000332.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.0,
      "y1": 214.5,
      "x2": 492.5,
      "y2": 378.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003470"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000333.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 124.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003471"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000333.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000333.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 124.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003471"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000334.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 210.5,
      "x2": 87.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003472"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000334.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000334.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 210.5,
      "x2": 87.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003472"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000335.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003473"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000335.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000335.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003473"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000336.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003474"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000336.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000336.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003474"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000337.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 56.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003475"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000337.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000337.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 56.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003475"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000338.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 57.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003476"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000338.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000338.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 57.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003476"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000339.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 46.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003477"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000339.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000339.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 46.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003477"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000340.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.0,
      "x2": 62.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003478"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000340.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000340.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.0,
      "x2": 62.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003478"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000341.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.5,
      "x2": 55.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003479"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000341.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000341.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.5,
      "x2": 55.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003479"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000342.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 50.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003480"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000342.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000342.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 50.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003480"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000343.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 355.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003481"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000343.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000343.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 458.5,
      "y1": 205.5,
      "x2": 639.5,
      "y2": 355.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003481"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000344.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 391.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003482"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000344.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000344.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 391.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003482"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000345.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003483"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000345.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000345.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 489.5,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003483"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000346.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003484"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000346.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000346.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003484"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000347.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003485"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000347.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000347.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003485"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000348.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003486"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000348.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000348.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003486"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000349.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003487"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000349.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000349.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003487"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000350.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003488"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000350.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000350.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003488"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000351.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003489"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000351.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000351.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 493.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003489"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000352.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003490"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000352.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000352.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003490"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000353.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 485.0,
      "y1": 187.5,
      "x2": 570.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003491"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000353.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000353.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 485.0,
      "y1": 187.5,
      "x2": 570.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003491"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000354.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 188.0,
      "x2": 474.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003492"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000354.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000354.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 395.5,
      "y1": 188.0,
      "x2": 474.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003492"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000355.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 186.5,
      "x2": 411.0,
      "y2": 212.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003493"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000355.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000355.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 356.5,
      "y1": 186.5,
      "x2": 411.0,
      "y2": 212.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003493"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000356.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 521.0,
      "y1": 186.5,
      "x2": 592.5,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003494"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000356.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000356.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 521.0,
      "y1": 186.5,
      "x2": 592.5,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003494"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000357.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 185.5,
      "x2": 517.5,
      "y2": 209.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003495"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000357.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000357.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 185.5,
      "x2": 517.5,
      "y2": 209.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003495"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000358.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 191.0,
      "x2": 585.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003496"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000358.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000358.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 191.0,
      "x2": 585.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003496"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000359.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 190.0,
      "x2": 501.0,
      "y2": 214.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003497"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000359.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000359.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 435.0,
      "y1": 190.0,
      "x2": 501.0,
      "y2": 214.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003497"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000360.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 214.5,
      "x2": 491.5,
      "y2": 377.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003498"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000360.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000360.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 214.5,
      "x2": 491.5,
      "y2": 377.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003498"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000361.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 215.0,
      "x2": 489.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003499"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000361.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000361.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 215.0,
      "x2": 489.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003499"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000362.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 214.5,
      "x2": 489.0,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003500"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000362.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000362.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 214.5,
      "x2": 489.0,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003500"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000363.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.0,
      "x2": 491.5,
      "y2": 377.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003501"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000363.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000363.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.0,
      "x2": 491.5,
      "y2": 377.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003501"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000364.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 215.5,
      "x2": 492.0,
      "y2": 378.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003502"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000364.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000364.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 215.5,
      "x2": 492.0,
      "y2": 378.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003502"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000365.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 214.5,
      "x2": 489.0,
      "y2": 376.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003503"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000365.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000365.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 214.5,
      "x2": 489.0,
      "y2": 376.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003503"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000366.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.5,
      "x2": 487.5,
      "y2": 373.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003504"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000366.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000366.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.5,
      "y1": 214.5,
      "x2": 487.5,
      "y2": 373.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003504"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000367.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 212.5,
      "x2": 477.0,
      "y2": 361.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003505"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000367.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000367.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 212.5,
      "x2": 477.0,
      "y2": 361.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003505"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000368.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 210.0,
      "x2": 453.0,
      "y2": 335.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003506"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000368.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000368.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.5,
      "y1": 210.0,
      "x2": 453.0,
      "y2": 335.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003506"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000369.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 207.0,
      "x2": 424.5,
      "y2": 303.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003507"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000369.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000369.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 316.5,
      "y1": 207.0,
      "x2": 424.5,
      "y2": 303.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003507"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000370.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 56.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003508"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000370.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000370.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 56.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003508"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000371.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.5,
      "x2": 52.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003509"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000371.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000371.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.5,
      "x2": 52.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003509"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000372.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 56.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003510"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000372.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000372.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 56.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003510"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000373.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003511"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000373.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000373.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 214.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003511"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000374.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 53.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003512"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000374.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000374.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 53.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003512"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000375.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 51.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003513"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000375.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000375.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 213.0,
      "x2": 51.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003513"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000376.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003514"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000376.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000376.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 216.5,
      "x2": 58.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003514"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000377.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 56.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003515"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000377.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000377.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 215.0,
      "x2": 56.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003515"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000378.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.0,
      "y2": 332.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003516"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000378.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000378.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.0,
      "y2": 332.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003516"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000379.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003517"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000379.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000379.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003517"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000380.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003518"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000380.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000380.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003518"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000381.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003519"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000381.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000381.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 198.0,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003519"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000382.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 197.5,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003520"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000382.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000382.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 197.5,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003520"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000383.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.5,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003521"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000383.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000383.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.0,
      "x2": 197.5,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003521"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000384.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003522"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000384.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000384.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 197.0,
      "y2": 332.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003522"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000385.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 196.5,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003523"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000385.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000385.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 193.5,
      "x2": 196.5,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003523"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000386.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 198.0,
      "y2": 333.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003524"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000386.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000386.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 194.0,
      "x2": 198.0,
      "y2": 333.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003524"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000387.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.0,
      "x2": 195.5,
      "y2": 341.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003525"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000387.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000387.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 197.0,
      "x2": 195.5,
      "y2": 341.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003525"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000388.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003526"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000388.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000388.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003526"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000389.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003527"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000389.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000389.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003527"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000390.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003528"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000390.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000390.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 495.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003528"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000391.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003529"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000391.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000391.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003529"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000392.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003530"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000392.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000392.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.0,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003530"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000393.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003531"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000393.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000393.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003531"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000394.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003532"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000394.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000394.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 494.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003532"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000395.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003533"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000395.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000395.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 496.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003533"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000396.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003534"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000396.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000396.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003534"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000397.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 393.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003535"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000397.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000397.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 476.0,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 393.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003535"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000398.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 193.0,
      "x2": 623.0,
      "y2": 222.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003536"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000398.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000398.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 193.0,
      "x2": 623.0,
      "y2": 222.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003536"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000399.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 190.5,
      "x2": 547.5,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003537"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000399.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000399.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 469.0,
      "y1": 190.5,
      "x2": 547.5,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003537"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000400.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 185.5,
      "x2": 471.5,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003538"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000400.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000400.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 389.0,
      "y1": 185.5,
      "x2": 471.5,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003538"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000401.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 163.0,
      "x2": 639.5,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003539"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000401.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000401.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 570.5,
      "y1": 163.0,
      "x2": 639.5,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003539"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000402.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 160.5,
      "x2": 639.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003540"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000402.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000402.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 508.5,
      "y1": 160.5,
      "x2": 639.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003540"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000403.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 158.5,
      "x2": 589.5,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003541"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000403.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000403.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 445.5,
      "y1": 158.5,
      "x2": 589.5,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003541"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000404.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 160.0,
      "x2": 539.5,
      "y2": 211.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003542"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000404.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000404.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.0,
      "y1": 160.0,
      "x2": 539.5,
      "y2": 211.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003542"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000405.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 159.5,
      "x2": 498.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003543"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000405.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000405.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 394.5,
      "y1": 159.5,
      "x2": 498.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003543"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000406.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 388.5,
      "y1": 160.5,
      "x2": 468.0,
      "y2": 207.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003544"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000406.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000406.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 388.5,
      "y1": 160.5,
      "x2": 468.0,
      "y2": 207.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003544"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000407.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 163.0,
      "x2": 447.0,
      "y2": 206.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003545"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000407.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000407.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 374.0,
      "y1": 163.0,
      "x2": 447.0,
      "y2": 206.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003545"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000408.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 455.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 353.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003546"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000408.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000408.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 353.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003546"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000409.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 205.5,
      "x2": 597.5,
      "y2": 324.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003547"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000409.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000409.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 431.5,
      "y1": 205.5,
      "x2": 597.5,
      "y2": 324.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003547"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000410.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 204.5,
      "x2": 561.0,
      "y2": 309.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003548"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000410.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000410.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 204.5,
      "x2": 561.0,
      "y2": 309.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003548"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000411.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 198.5,
      "x2": 544.0,
      "y2": 293.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003549"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000411.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000411.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 412.5,
      "y1": 198.5,
      "x2": 544.0,
      "y2": 293.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003549"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000412.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 205.0,
      "x2": 547.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003550"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000412.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000412.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 417.5,
      "y1": 205.0,
      "x2": 547.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003550"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000413.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 203.0,
      "x2": 565.0,
      "y2": 299.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003551"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000413.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000413.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 203.0,
      "x2": 565.0,
      "y2": 299.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003551"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000414.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 205.5,
      "x2": 577.0,
      "y2": 308.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003552"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000414.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000414.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 205.5,
      "x2": 577.0,
      "y2": 308.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003552"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000415.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 204.0,
      "x2": 592.0,
      "y2": 311.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003553"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000415.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000415.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 442.0,
      "y1": 204.0,
      "x2": 592.0,
      "y2": 311.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003553"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000416.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 203.5,
      "x2": 594.5,
      "y2": 315.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003554"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000416.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000416.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 203.5,
      "x2": 594.5,
      "y2": 315.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003554"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000417.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 200.0,
      "x2": 596.5,
      "y2": 314.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003555"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000417.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000417.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 436.5,
      "y1": 200.0,
      "x2": 596.5,
      "y2": 314.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003555"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000418.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 175.5,
      "y2": 370.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003556"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000418.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000418.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 200.0,
      "x2": 175.5,
      "y2": 370.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003556"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000419.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 207.0,
      "x2": 398.5,
      "y2": 284.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003557"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000419.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000419.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 310.0,
      "y1": 207.0,
      "x2": 398.5,
      "y2": 284.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003557"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000420.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 201.0,
      "x2": 374.5,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003558"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000420.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000420.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 300.0,
      "y1": 201.0,
      "x2": 374.5,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003558"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000421.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 296.0,
      "y1": 204.0,
      "x2": 364.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003559"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000421.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000421.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 296.0,
      "y1": 204.0,
      "x2": 364.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003559"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000422.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 197.5,
      "x2": 360.0,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003560"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000422.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000422.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 197.5,
      "x2": 360.0,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003560"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000423.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 203.5,
      "x2": 367.0,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003561"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000423.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000423.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.0,
      "y1": 203.5,
      "x2": 367.0,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003561"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000424.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 199.5,
      "x2": 378.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003562"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000424.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000424.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 315.0,
      "y1": 199.5,
      "x2": 378.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003562"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000425.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 201.0,
      "x2": 378.5,
      "y2": 259.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003563"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000425.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000425.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 201.0,
      "x2": 378.5,
      "y2": 259.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003563"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000426.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 201.0,
      "x2": 378.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003564"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000426.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000426.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 201.0,
      "x2": 378.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003564"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000427.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 199.0,
      "x2": 368.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003565"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000427.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000427.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 299.0,
      "y1": 199.0,
      "x2": 368.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003565"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000428.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.0,
      "x2": 361.5,
      "y2": 258.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003566"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000428.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000428.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 197.0,
      "x2": 361.5,
      "y2": 258.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003566"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000429.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 170.5,
      "x2": 555.5,
      "y2": 207.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003567"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000429.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000429.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 502.5,
      "y1": 170.5,
      "x2": 555.5,
      "y2": 207.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003567"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000430.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 525.5,
      "y1": 176.5,
      "x2": 591.5,
      "y2": 218.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003568"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000430.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000430.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 525.5,
      "y1": 176.5,
      "x2": 591.5,
      "y2": 218.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003568"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000431.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 170.0,
      "x2": 639.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003569"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000431.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000431.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 170.0,
      "x2": 639.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003569"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000432.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 602.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 325.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003570"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000432.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000432.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 602.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 325.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003570"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000433.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003571"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000433.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000433.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 569.0,
      "y1": 209.0,
      "x2": 639.5,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003571"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000434.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 291.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003572"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000434.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000434.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 554.0,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 291.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003572"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000435.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 542.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003573"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000435.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000435.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 542.5,
      "y1": 202.0,
      "x2": 639.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003573"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000436.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 540.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 276.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003574"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000436.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000436.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 540.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 276.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003574"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000437.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003575"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000437.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000437.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 545.0,
      "y1": 203.5,
      "x2": 639.5,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003575"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000438.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 203.5,
      "x2": 629.5,
      "y2": 262.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003576"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000438.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000438.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 203.5,
      "x2": 629.5,
      "y2": 262.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003576"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000439.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 533.0,
      "y1": 201.5,
      "x2": 620.5,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003577"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000439.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000439.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 533.0,
      "y1": 201.5,
      "x2": 620.5,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003577"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000440.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 200.0,
      "x2": 607.5,
      "y2": 252.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003578"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000440.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000440.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 520.5,
      "y1": 200.0,
      "x2": 607.5,
      "y2": 252.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003578"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000441.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 511.0,
      "y1": 196.5,
      "x2": 594.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003579"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000441.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000441.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 511.0,
      "y1": 196.5,
      "x2": 594.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003579"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000442.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 268.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003580"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000442.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000442.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 591.5,
      "y1": 202.5,
      "x2": 639.5,
      "y2": 268.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003580"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000443.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 553.0,
      "y1": 193.5,
      "x2": 636.0,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003581"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000443.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000443.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 553.0,
      "y1": 193.5,
      "x2": 636.0,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003581"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000444.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 195.0,
      "x2": 594.5,
      "y2": 239.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003582"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000444.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000444.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 519.5,
      "y1": 195.0,
      "x2": 594.5,
      "y2": 239.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003582"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000445.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 198.0,
      "x2": 569.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003583"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000445.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000445.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 505.0,
      "y1": 198.0,
      "x2": 569.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003583"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000446.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 197.5,
      "x2": 549.0,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003584"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000446.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000446.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 197.5,
      "x2": 549.0,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003584"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000447.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 181.0,
      "x2": 260.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003585"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000447.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000447.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 206.0,
      "y1": 181.0,
      "x2": 260.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003585"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000448.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 173.0,
      "x2": 250.0,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003586"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000448.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000448.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 170.5,
      "y1": 173.0,
      "x2": 250.0,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003586"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000449.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 104.0,
      "y1": 166.5,
      "x2": 216.0,
      "y2": 254.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003587"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000449.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000449.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 104.0,
      "y1": 166.5,
      "x2": 216.0,
      "y2": 254.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003587"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000450.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 155.5,
      "x2": 164.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003588"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000450.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000450.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 155.5,
      "x2": 164.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003588"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000451.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 169.5,
      "x2": 412.0,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003589"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000451.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000451.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 169.5,
      "x2": 412.0,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003589"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000452.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 342.0,
      "y1": 160.0,
      "x2": 423.5,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003590"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000452.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000452.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 342.0,
      "y1": 160.0,
      "x2": 423.5,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003590"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000453.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 320.5,
      "y1": 161.0,
      "x2": 405.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003591"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000453.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000453.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 320.5,
      "y1": 161.0,
      "x2": 405.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003591"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000454.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 161.0,
      "x2": 379.5,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003592"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000454.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000454.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 298.5,
      "y1": 161.0,
      "x2": 379.5,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003592"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000455.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 156.0,
      "x2": 340.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003593"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000455.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000455.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 156.0,
      "x2": 340.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003593"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000456.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 152.0,
      "x2": 302.5,
      "y2": 213.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003594"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000456.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000456.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 152.0,
      "x2": 302.5,
      "y2": 213.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003594"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000457.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 184.5,
      "x2": 236.5,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003595"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000457.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000457.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 179.5,
      "y1": 184.5,
      "x2": 236.5,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003595"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000458.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 192.0,
      "x2": 616.5,
      "y2": 222.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003596"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000458.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000458.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 563.0,
      "y1": 192.0,
      "x2": 616.5,
      "y2": 222.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003596"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000459.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 201.5,
      "x2": 162.0,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003597"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000459.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000459.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 201.5,
      "x2": 162.0,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003597"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000460.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 169.0,
      "y1": 194.5,
      "x2": 224.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003598"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000460.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000460.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 169.0,
      "y1": 194.5,
      "x2": 224.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003598"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000461.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 195.0,
      "x2": 206.0,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003599"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000461.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000461.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 195.0,
      "x2": 206.0,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003599"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000462.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.0,
      "x2": 151.5,
      "y2": 324.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003600"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000462.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000462.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 189.0,
      "x2": 151.5,
      "y2": 324.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003600"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000463.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 210.5,
      "x2": 616.5,
      "y2": 333.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003601"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000463.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000463.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.5,
      "y1": 210.5,
      "x2": 616.5,
      "y2": 333.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003601"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000464.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003602"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000464.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000464.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.5,
      "y1": 207.5,
      "x2": 639.5,
      "y2": 340.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003602"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000465.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 358.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003603"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000465.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000465.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 464.0,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 358.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003603"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000466.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 481.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 389.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003604"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000466.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000466.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 481.5,
      "y1": 206.5,
      "x2": 639.5,
      "y2": 389.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003604"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000467.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003605"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000467.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000467.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 207.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003605"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000468.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 168.5,
      "x2": 263.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003606"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000468.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000468.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 168.5,
      "x2": 263.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003606"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000469.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 160.5,
      "x2": 205.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003607"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000469.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000469.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 114.0,
      "y1": 160.5,
      "x2": 205.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003607"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000470.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 28.0,
      "y1": 153.0,
      "x2": 132.5,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003608"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000470.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000470.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 28.0,
      "y1": 153.0,
      "x2": 132.5,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003608"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000471.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 206.5,
      "x2": 364.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003609"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000471.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000471.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 206.5,
      "x2": 364.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003609"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000472.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 202.0,
      "x2": 342.5,
      "y2": 266.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003610"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000472.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000472.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 266.0,
      "y1": 202.0,
      "x2": 342.5,
      "y2": 266.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003610"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000473.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 202.0,
      "x2": 304.5,
      "y2": 267.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003611"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000473.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000473.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 217.0,
      "y1": 202.0,
      "x2": 304.5,
      "y2": 267.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003611"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000474.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 199.5,
      "x2": 260.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003612"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000474.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000474.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 166.0,
      "y1": 199.5,
      "x2": 260.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003612"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000475.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 203.0,
      "x2": 224.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003613"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000475.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000475.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 203.0,
      "x2": 224.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003613"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000476.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 200.0,
      "x2": 199.5,
      "y2": 270.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003614"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000476.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000476.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 97.0,
      "y1": 200.0,
      "x2": 199.5,
      "y2": 270.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003614"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000477.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 89.0,
      "y1": 203.0,
      "x2": 191.0,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003615"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000477.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000477.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 89.0,
      "y1": 203.0,
      "x2": 191.0,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003615"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000478.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 200.0,
      "x2": 199.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003616"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000478.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000478.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 94.0,
      "y1": 200.0,
      "x2": 199.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003616"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000479.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 206.5,
      "x2": 216.0,
      "y2": 279.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003617"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000479.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000479.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 123.0,
      "y1": 206.5,
      "x2": 216.0,
      "y2": 279.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003617"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000480.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 215.0,
      "y1": 202.5,
      "x2": 294.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003618"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000480.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000480.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.0,
      "y1": 202.5,
      "x2": 294.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003618"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000481.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 199.5,
      "x2": 578.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003619"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000481.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000481.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 199.5,
      "x2": 578.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003619"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000482.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 520.0,
      "y1": 195.5,
      "x2": 582.5,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003620"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000482.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000482.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 520.0,
      "y1": 195.5,
      "x2": 582.5,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003620"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000483.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 193.5,
      "x2": 332.0,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003621"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000483.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000483.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 266.5,
      "y1": 193.5,
      "x2": 332.0,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003621"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000484.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 221.5,
      "y1": 191.5,
      "x2": 298.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003622"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000484.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000484.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 221.5,
      "y1": 191.5,
      "x2": 298.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003622"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000485.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 155.5,
      "y1": 194.5,
      "x2": 236.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003623"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000485.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000485.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 155.5,
      "y1": 194.5,
      "x2": 236.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003623"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000486.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 192.0,
      "x2": 214.5,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003624"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000486.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000486.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 192.0,
      "x2": 214.5,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003624"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000487.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 195.0,
      "x2": 206.0,
      "y2": 236.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003625"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000487.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000487.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 130.5,
      "y1": 195.0,
      "x2": 206.0,
      "y2": 236.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003625"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000488.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 134.5,
      "y1": 195.5,
      "x2": 213.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003626"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000488.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000488.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 134.5,
      "y1": 195.5,
      "x2": 213.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003626"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000489.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 189.5,
      "x2": 64.5,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003627"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000489.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000489.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 12.5,
      "y1": 189.5,
      "x2": 64.5,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003627"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000490.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 196.5,
      "x2": 350.0,
      "y2": 225.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003628"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000490.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000490.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 296.5,
      "y1": 196.5,
      "x2": 350.0,
      "y2": 225.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003628"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000491.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 199.0,
      "x2": 254.0,
      "y2": 237.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003629"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000491.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000491.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 189.0,
      "y1": 199.0,
      "x2": 254.0,
      "y2": 237.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003629"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000492.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 193.0,
      "x2": 441.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003630"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000492.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000492.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 193.0,
      "x2": 441.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003630"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000493.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 191.0,
      "x2": 489.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003631"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000493.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000493.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 191.0,
      "x2": 489.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003631"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000494.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 189.0,
      "x2": 506.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003632"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000494.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000494.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.0,
      "y1": 189.0,
      "x2": 506.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003632"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000495.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 193.5,
      "x2": 537.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003633"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000495.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000495.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 456.0,
      "y1": 193.5,
      "x2": 537.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003633"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000496.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 193.0,
      "x2": 599.5,
      "y2": 268.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003634"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000496.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000496.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 482.0,
      "y1": 193.0,
      "x2": 599.5,
      "y2": 268.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003634"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000497.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 206.5,
      "x2": 360.5,
      "y2": 273.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003635"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000497.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000497.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 206.5,
      "x2": 360.5,
      "y2": 273.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003635"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000498.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 191.5,
      "x2": 382.0,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003636"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000498.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000498.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 314.5,
      "y1": 191.5,
      "x2": 382.0,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003636"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000499.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 197.0,
      "x2": 376.5,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003637"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000499.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000499.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.5,
      "y1": 197.0,
      "x2": 376.5,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003637"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000500.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 361.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003638"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000500.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000500.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 305.0,
      "y1": 197.0,
      "x2": 361.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003638"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000501.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 290.0,
      "y1": 199.0,
      "x2": 344.5,
      "y2": 246.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003639"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000501.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000501.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.0,
      "y1": 199.0,
      "x2": 344.5,
      "y2": 246.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003639"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000502.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 196.0,
      "x2": 340.5,
      "y2": 244.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003640"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000502.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000502.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 196.0,
      "x2": 340.5,
      "y2": 244.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003640"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000503.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 198.5,
      "x2": 369.0,
      "y2": 248.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003641"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000503.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000503.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.5,
      "y1": 198.5,
      "x2": 369.0,
      "y2": 248.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003641"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000504.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 195.0,
      "x2": 383.5,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003642"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000504.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000504.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.5,
      "y1": 195.0,
      "x2": 383.5,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003642"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000505.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 198.5,
      "x2": 387.0,
      "y2": 265.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003643"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000505.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000505.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 311.0,
      "y1": 198.5,
      "x2": 387.0,
      "y2": 265.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003643"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000506.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 201.5,
      "x2": 395.5,
      "y2": 280.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003644"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000506.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000506.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 201.5,
      "x2": 395.5,
      "y2": 280.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003644"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000507.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 530.0,
      "y1": 194.0,
      "x2": 601.5,
      "y2": 238.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003645"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000507.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000507.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 530.0,
      "y1": 194.0,
      "x2": 601.5,
      "y2": 238.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003645"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000508.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 541.0,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 244.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003646"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000508.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000508.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 541.0,
      "y1": 189.5,
      "x2": 639.5,
      "y2": 244.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003646"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000509.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 550.0,
      "y1": 197.5,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003647"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000509.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000509.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 550.0,
      "y1": 197.5,
      "x2": 639.5,
      "y2": 273.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003647"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000510.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 204.5,
      "x2": 401.5,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003648"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000510.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000510.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 292.0,
      "y1": 204.5,
      "x2": 401.5,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003648"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000511.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 207.0,
      "x2": 419.5,
      "y2": 324.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003649"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000511.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000511.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 288.5,
      "y1": 207.0,
      "x2": 419.5,
      "y2": 324.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003649"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000512.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 208.0,
      "x2": 429.0,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003650"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000512.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000512.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 285.5,
      "y1": 208.0,
      "x2": 429.0,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003650"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000513.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 209.0,
      "x2": 428.0,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003651"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000513.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000513.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 209.0,
      "x2": 428.0,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003651"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000514.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 210.5,
      "x2": 427.5,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003652"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000514.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000514.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 210.5,
      "x2": 427.5,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003652"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000515.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 211.5,
      "x2": 427.5,
      "y2": 341.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003653"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000515.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000515.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 283.5,
      "y1": 211.5,
      "x2": 427.5,
      "y2": 341.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003653"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000516.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 211.0,
      "x2": 425.0,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003654"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000516.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000516.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 211.0,
      "x2": 425.0,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003654"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000517.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 210.5,
      "x2": 424.5,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003655"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000517.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000517.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 210.5,
      "x2": 424.5,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003655"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000518.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.5,
      "x2": 425.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003656"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000518.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000518.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.5,
      "x2": 425.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003656"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000519.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 210.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003657"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000519.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000519.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 210.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003657"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000520.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 581.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003658"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000520.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000520.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 581.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003658"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000521.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 196.5,
      "x2": 626.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003659"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000521.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000521.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 547.5,
      "y1": 196.5,
      "x2": 626.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003659"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000522.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 198.0,
      "x2": 617.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003660"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000522.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000522.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 526.5,
      "y1": 198.0,
      "x2": 617.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003660"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000523.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 196.0,
      "x2": 494.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003661"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000523.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000523.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 402.0,
      "y1": 196.0,
      "x2": 494.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003661"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000524.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 347.5,
      "y1": 195.0,
      "x2": 404.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003662"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000524.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000524.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 347.5,
      "y1": 195.0,
      "x2": 404.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003662"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000525.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003663"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000525.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000525.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 585.0,
      "y1": 217.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003663"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000526.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 511.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003664"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000526.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000526.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 511.5,
      "y1": 214.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003664"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000527.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003665"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000527.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000527.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003665"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000528.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003666"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000528.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000528.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003666"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000529.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003667"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000529.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000529.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003667"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000530.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003668"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000530.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000530.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003668"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000531.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003669"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000531.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000531.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003669"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000532.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003670"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000532.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000532.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003670"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000533.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 237.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003671"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000533.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000533.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 567.0,
      "y1": 200.5,
      "x2": 639.5,
      "y2": 237.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003671"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000534.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 196.5,
      "x2": 528.0,
      "y2": 232.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003672"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000534.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000534.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 426.5,
      "y1": 196.5,
      "x2": 528.0,
      "y2": 232.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003672"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000535.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 194.5,
      "x2": 418.0,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003673"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000535.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000535.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 366.5,
      "y1": 194.5,
      "x2": 418.0,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003673"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000536.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 235.5,
      "x2": 141.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003674"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000536.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000536.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 235.5,
      "x2": 141.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003674"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000537.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 208.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003675"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000537.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000537.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 217.5,
      "x2": 208.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003675"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000538.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 9.5,
      "y1": 209.0,
      "x2": 238.5,
      "y2": 376.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003676"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000538.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000538.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 9.5,
      "y1": 209.0,
      "x2": 238.5,
      "y2": 376.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003676"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000539.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 205.0,
      "x2": 251.5,
      "y2": 340.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003677"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000539.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000539.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 64.5,
      "y1": 205.0,
      "x2": 251.5,
      "y2": 340.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003677"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000540.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 255.5,
      "y2": 330.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003678"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000540.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000540.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 255.5,
      "y2": 330.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003678"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000541.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003679"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000541.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000541.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003679"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000542.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.5,
      "x2": 258.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003680"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000542.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000542.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.5,
      "x2": 258.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003680"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000543.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 202.0,
      "x2": 256.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003681"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000543.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000543.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 202.0,
      "x2": 256.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003681"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000544.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003682"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000544.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000544.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003682"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000545.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003683"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000545.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000545.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003683"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000546.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003684"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000546.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000546.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.5,
      "x2": 257.0,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003684"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000547.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003685"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000547.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000547.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003685"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000548.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 258.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003686"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000548.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000548.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 258.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003686"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000549.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.5,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003687"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000549.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000549.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.5,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003687"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000550.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 201.5,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003688"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000550.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000550.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 201.5,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003688"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000551.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003689"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000551.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000551.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003689"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000552.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003690"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000552.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000552.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003690"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000553.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003691"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000553.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000553.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003691"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000554.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003692"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000554.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000554.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003692"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000555.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003693"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000555.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000555.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003693"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000556.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003694"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000556.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000556.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 210.5,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003694"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000557.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003695"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000557.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000557.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003695"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000558.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003696"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000558.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000558.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003696"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000559.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003697"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000559.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000559.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003697"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000560.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003698"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000560.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000560.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003698"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000561.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 210.0,
      "x2": 420.0,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003699"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000561.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000561.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 275.5,
      "y1": 210.0,
      "x2": 420.0,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003699"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000562.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.5,
      "x2": 422.5,
      "y2": 339.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003700"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000562.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000562.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.5,
      "x2": 422.5,
      "y2": 339.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003700"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000563.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 209.5,
      "x2": 423.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003701"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000563.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000563.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.5,
      "y1": 209.5,
      "x2": 423.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003701"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000564.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 210.5,
      "x2": 424.5,
      "y2": 339.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003702"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000564.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000564.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 210.5,
      "x2": 424.5,
      "y2": 339.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003702"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000565.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003703"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000565.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000565.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.0,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003703"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000566.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 208.0,
      "x2": 423.0,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003704"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000566.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000566.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 277.0,
      "y1": 208.0,
      "x2": 423.0,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003704"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000567.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 209.5,
      "x2": 423.0,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003705"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000567.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000567.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 209.5,
      "x2": 423.0,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003705"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000568.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003706"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000568.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000568.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003706"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000569.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.0,
      "x2": 425.0,
      "y2": 337.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003707"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000569.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000569.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.0,
      "x2": 425.0,
      "y2": 337.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003707"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000570.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003708"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000570.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000570.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003708"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000571.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 209.5,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003709"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000571.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000571.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.0,
      "y1": 209.5,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003709"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000572.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 210.0,
      "x2": 424.5,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003710"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000572.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000572.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.0,
      "y1": 210.0,
      "x2": 424.5,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003710"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000573.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.5,
      "x2": 422.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003711"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000573.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000573.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.5,
      "x2": 422.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003711"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000574.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 339.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003712"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000574.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000574.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.0,
      "x2": 425.5,
      "y2": 339.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003712"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000575.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 209.5,
      "x2": 426.0,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003713"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000575.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000575.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 281.5,
      "y1": 209.5,
      "x2": 426.0,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003713"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000576.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003714"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000576.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000576.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 278.0,
      "y1": 210.0,
      "x2": 423.5,
      "y2": 338.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003714"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000577.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 210.0,
      "x2": 424.0,
      "y2": 338.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003715"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000577.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000577.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 279.5,
      "y1": 210.0,
      "x2": 424.0,
      "y2": 338.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003715"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000578.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.5,
      "x2": 423.5,
      "y2": 336.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003716"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000578.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000578.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 280.5,
      "y1": 209.5,
      "x2": 423.5,
      "y2": 336.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003716"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000579.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 209.5,
      "x2": 414.0,
      "y2": 325.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003717"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000579.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000579.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 286.0,
      "y1": 209.5,
      "x2": 414.0,
      "y2": 325.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003717"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000580.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 208.5,
      "x2": 405.5,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003718"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000580.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000580.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.5,
      "y1": 208.5,
      "x2": 405.5,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003718"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000581.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 201.0,
      "x2": 256.5,
      "y2": 329.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003719"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000581.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000581.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.0,
      "y1": 201.0,
      "x2": 256.5,
      "y2": 329.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003719"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000582.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.0,
      "x2": 255.5,
      "y2": 328.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003720"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000582.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000582.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.5,
      "y1": 201.0,
      "x2": 255.5,
      "y2": 328.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003720"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000583.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.0,
      "x2": 258.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003721"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000583.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000583.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.0,
      "x2": 258.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003721"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000584.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 256.0,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003722"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000584.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000584.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.5,
      "x2": 256.0,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003722"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000585.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.0,
      "x2": 257.5,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003723"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000585.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000585.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.0,
      "y1": 201.0,
      "x2": 257.5,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003723"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000586.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003724"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000586.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000586.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 80.0,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003724"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000587.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.0,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003725"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000587.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000587.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 79.5,
      "y1": 201.0,
      "x2": 257.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003725"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000588.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003726"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000588.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000588.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 81.5,
      "y1": 201.0,
      "x2": 257.0,
      "y2": 328.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003726"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000589.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 99.0,
      "y1": 205.0,
      "x2": 261.0,
      "y2": 325.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003727"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000589.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000589.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 99.0,
      "y1": 205.0,
      "x2": 261.0,
      "y2": 325.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003727"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000590.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 204.5,
      "x2": 272.5,
      "y2": 304.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003728"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000590.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000590.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 138.5,
      "y1": 204.5,
      "x2": 272.5,
      "y2": 304.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003728"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000591.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003729"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000591.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000591.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003729"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000592.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003730"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000592.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000592.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003730"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000593.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003731"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000593.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000593.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003731"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000594.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003732"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000594.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000594.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003732"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000595.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003733"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000595.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000595.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 471.5,
      "y1": 212.0,
      "x2": 639.5,
      "y2": 382.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003733"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000596.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003734"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000596.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000596.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.0,
      "y1": 211.0,
      "x2": 639.5,
      "y2": 382.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003734"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000597.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003735"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000597.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000597.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 210.0,
      "x2": 639.5,
      "y2": 381.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003735"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000598.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003736"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000598.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000598.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 472.5,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 381.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003736"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000599.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 359.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003737"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000599.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000599.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 457.0,
      "y1": 211.5,
      "x2": 639.5,
      "y2": 359.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003737"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000600.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 207.5,
      "x2": 597.5,
      "y2": 322.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003738"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000600.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000600.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 438.5,
      "y1": 207.5,
      "x2": 597.5,
      "y2": 322.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003738"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000601.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003739"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000601.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000601.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 549.5,
      "y1": 198.0,
      "x2": 639.5,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003739"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000602.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 198.0,
      "x2": 527.0,
      "y2": 236.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003740"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000602.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000602.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 422.5,
      "y1": 198.0,
      "x2": 527.0,
      "y2": 236.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003740"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000603.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 195.0,
      "x2": 425.0,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003741"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000603.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000603.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 337.5,
      "y1": 195.0,
      "x2": 425.0,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003741"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000604.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 191.0,
      "x2": 361.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003742"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000604.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000604.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 309.5,
      "y1": 191.0,
      "x2": 361.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003742"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000605.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 198.5,
      "x2": 590.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003743"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000605.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000605.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 510.0,
      "y1": 198.5,
      "x2": 590.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003743"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000606.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 198.5,
      "x2": 580.5,
      "y2": 229.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003744"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000606.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000606.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 497.5,
      "y1": 198.5,
      "x2": 580.5,
      "y2": 229.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003744"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000607.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 193.0,
      "x2": 472.0,
      "y2": 219.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003745"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000607.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000607.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 416.0,
      "y1": 193.0,
      "x2": 472.0,
      "y2": 219.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003745"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000608.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 206.0,
      "x2": 283.5,
      "y2": 288.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003746"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000608.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000608.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 178.0,
      "y1": 206.0,
      "x2": 283.5,
      "y2": 288.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003746"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000609.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 204.5,
      "x2": 293.0,
      "y2": 276.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003747"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000609.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000609.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 204.5,
      "x2": 293.0,
      "y2": 276.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003747"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000610.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 221.5,
      "y1": 201.0,
      "x2": 301.0,
      "y2": 265.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003748"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000610.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000610.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 221.5,
      "y1": 201.0,
      "x2": 301.0,
      "y2": 265.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003748"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000611.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 200.5,
      "x2": 301.0,
      "y2": 260.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003749"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000611.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000611.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 200.5,
      "x2": 301.0,
      "y2": 260.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003749"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000612.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 199.0,
      "x2": 296.5,
      "y2": 257.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003750"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000612.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000612.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 199.0,
      "x2": 296.5,
      "y2": 257.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003750"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000613.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 199.5,
      "x2": 299.0,
      "y2": 256.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003751"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000613.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000613.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 229.5,
      "y1": 199.5,
      "x2": 299.0,
      "y2": 256.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003751"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000614.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 262.5,
      "y1": 190.0,
      "x2": 335.0,
      "y2": 250.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003752"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000614.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000614.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 262.5,
      "y1": 190.0,
      "x2": 335.0,
      "y2": 250.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003752"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000615.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 193.5,
      "x2": 370.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003753"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000615.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000615.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 295.5,
      "y1": 193.5,
      "x2": 370.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003753"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000616.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 201.0,
      "x2": 378.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003754"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000616.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000616.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 302.0,
      "y1": 201.0,
      "x2": 378.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003754"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000617.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 195.0,
      "x2": 339.0,
      "y2": 270.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003755"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000617.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000617.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 245.0,
      "y1": 195.0,
      "x2": 339.0,
      "y2": 270.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003755"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000618.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 209.5,
      "x2": 555.0,
      "y2": 301.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003756"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000618.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000618.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 429.0,
      "y1": 209.5,
      "x2": 555.0,
      "y2": 301.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003756"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000619.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 205.0,
      "x2": 537.5,
      "y2": 288.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003757"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000619.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000619.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 205.0,
      "x2": 537.5,
      "y2": 288.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003757"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000620.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 202.0,
      "x2": 532.0,
      "y2": 279.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003758"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000620.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000620.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 434.5,
      "y1": 202.0,
      "x2": 532.0,
      "y2": 279.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003758"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000621.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 205.0,
      "x2": 542.5,
      "y2": 282.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003759"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000621.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000621.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 437.0,
      "y1": 205.0,
      "x2": 542.5,
      "y2": 282.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003759"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000622.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 204.5,
      "x2": 545.0,
      "y2": 284.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003760"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000622.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000622.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 435.5,
      "y1": 204.5,
      "x2": 545.0,
      "y2": 284.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003760"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000623.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 205.5,
      "x2": 566.0,
      "y2": 289.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003761"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000623.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000623.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 205.5,
      "x2": 566.0,
      "y2": 289.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003761"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000624.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 469.5,
      "y1": 200.0,
      "x2": 604.0,
      "y2": 286.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003762"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000624.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000624.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 469.5,
      "y1": 200.0,
      "x2": 604.0,
      "y2": 286.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003762"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000625.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 481.0,
      "y1": 202.5,
      "x2": 623.0,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003763"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000625.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000625.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 481.0,
      "y1": 202.5,
      "x2": 623.0,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003763"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000626.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 209.5,
      "x2": 615.5,
      "y2": 304.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003764"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000626.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000626.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 470.5,
      "y1": 209.5,
      "x2": 615.5,
      "y2": 304.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003764"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000627.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 202.0,
      "x2": 584.0,
      "y2": 302.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003765"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000627.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000627.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.5,
      "y1": 202.0,
      "x2": 584.0,
      "y2": 302.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003765"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000628.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 209.0,
      "x2": 404.0,
      "y2": 286.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003766"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000628.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000628.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 319.5,
      "y1": 209.0,
      "x2": 404.0,
      "y2": 286.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003766"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000629.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 207.5,
      "x2": 404.5,
      "y2": 275.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003767"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000629.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000629.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 329.5,
      "y1": 207.5,
      "x2": 404.5,
      "y2": 275.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003767"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000630.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 203.5,
      "x2": 407.0,
      "y2": 263.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003768"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000630.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000630.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 340.0,
      "y1": 203.5,
      "x2": 407.0,
      "y2": 263.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003768"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000631.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 347.0,
      "y1": 203.5,
      "x2": 408.5,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003769"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000631.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000631.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 347.0,
      "y1": 203.5,
      "x2": 408.5,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003769"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000632.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 341.0,
      "y1": 203.0,
      "x2": 396.0,
      "y2": 252.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003770"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000632.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000632.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 341.0,
      "y1": 203.0,
      "x2": 396.0,
      "y2": 252.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003770"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000633.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 243.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003771"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000633.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000633.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 346.5,
      "y1": 197.0,
      "x2": 402.0,
      "y2": 243.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003771"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000634.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 388.5,
      "y1": 194.0,
      "x2": 440.0,
      "y2": 235.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003772"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000634.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000634.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 388.5,
      "y1": 194.0,
      "x2": 440.0,
      "y2": 235.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003772"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000635.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 176.5,
      "x2": 217.0,
      "y2": 196.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003773"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000635.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000635.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 162.5,
      "y1": 176.5,
      "x2": 217.0,
      "y2": 196.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003773"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000636.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 194.5,
      "x2": 259.0,
      "y2": 278.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003774"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000636.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000636.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 133.0,
      "y1": 194.5,
      "x2": 259.0,
      "y2": 278.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003774"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000637.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 99.0,
      "y1": 195.5,
      "x2": 236.0,
      "y2": 285.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003775"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000637.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000637.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 99.0,
      "y1": 195.5,
      "x2": 236.0,
      "y2": 285.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003775"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000638.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 193.5,
      "x2": 244.0,
      "y2": 290.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003776"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000638.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000638.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 93.0,
      "y1": 193.5,
      "x2": 244.0,
      "y2": 290.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003776"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000639.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 197.0,
      "x2": 264.5,
      "y2": 297.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003777"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000639.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000639.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 197.0,
      "x2": 264.5,
      "y2": 297.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003777"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000640.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 197.5,
      "x2": 358.0,
      "y2": 300.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003778"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000640.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000640.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 197.5,
      "x2": 358.0,
      "y2": 300.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003778"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000641.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 390.0,
      "y1": 205.0,
      "x2": 526.5,
      "y2": 312.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003779"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000641.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000641.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 390.0,
      "y1": 205.0,
      "x2": 526.5,
      "y2": 312.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003779"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000642.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 334.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003780"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000642.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000642.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 209.5,
      "x2": 639.5,
      "y2": 334.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003780"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000643.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 199.5,
      "x2": 535.0,
      "y2": 309.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003781"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000643.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000643.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 342.5,
      "y1": 199.5,
      "x2": 535.0,
      "y2": 309.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003781"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000644.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 341.5,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 329.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003782"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000644.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000644.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 341.5,
      "y1": 202.0,
      "x2": 564.5,
      "y2": 329.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003782"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000645.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 200.0,
      "x2": 635.5,
      "y2": 349.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003783"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000645.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000645.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 371.5,
      "y1": 200.0,
      "x2": 635.5,
      "y2": 349.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003783"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000646.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 387.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003784"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000646.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000646.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 417.0,
      "y1": 205.0,
      "x2": 639.5,
      "y2": 387.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003784"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000647.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 547.0,
      "y1": 194.5,
      "x2": 612.0,
      "y2": 241.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003785"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000647.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000647.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 547.0,
      "y1": 194.5,
      "x2": 612.0,
      "y2": 241.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003785"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000648.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 397.0,
      "y1": 194.0,
      "x2": 456.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003786"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000648.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000648.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 397.0,
      "y1": 194.0,
      "x2": 456.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003786"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000649.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 193.0,
      "x2": 518.5,
      "y2": 275.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003787"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000649.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000649.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 193.0,
      "x2": 518.5,
      "y2": 275.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003787"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000650.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 201.5,
      "x2": 539.5,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003788"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000650.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000650.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 461.5,
      "y1": 201.5,
      "x2": 539.5,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003788"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000651.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 207.5,
      "x2": 619.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003789"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000651.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000651.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 503.0,
      "y1": 207.5,
      "x2": 619.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003789"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000652.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 204.0,
      "x2": 639.5,
      "y2": 363.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003790"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000652.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000652.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 455.5,
      "y1": 204.0,
      "x2": 639.5,
      "y2": 363.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003790"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000653.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 170.5,
      "x2": 639.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003791"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000653.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000653.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 170.5,
      "x2": 639.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003791"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000654.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 172.5,
      "x2": 639.5,
      "y2": 248.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003792"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000654.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000654.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 460.0,
      "y1": 172.5,
      "x2": 639.5,
      "y2": 248.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003792"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000655.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 170.5,
      "x2": 619.5,
      "y2": 243.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003793"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000655.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000655.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 432.5,
      "y1": 170.5,
      "x2": 619.5,
      "y2": 243.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003793"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000656.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 171.0,
      "x2": 547.5,
      "y2": 233.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003794"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000656.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000656.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 171.0,
      "x2": 547.5,
      "y2": 233.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003794"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000657.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 171.5,
      "x2": 508.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003795"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000657.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000657.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 446.5,
      "y1": 171.5,
      "x2": 508.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003795"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000658.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 152.5,
      "x2": 550.0,
      "y2": 230.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003796"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000658.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000658.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 449.5,
      "y1": 152.5,
      "x2": 550.0,
      "y2": 230.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003796"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000659.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 141.0,
      "x2": 627.0,
      "y2": 259.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003797"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000659.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000659.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 141.0,
      "x2": 627.0,
      "y2": 259.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003797"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000660.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 404.0,
      "y1": 208.0,
      "x2": 522.0,
      "y2": 296.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003798"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000660.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000660.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 404.0,
      "y1": 208.0,
      "x2": 522.0,
      "y2": 296.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003798"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000661.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003799"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000661.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000661.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 462.5,
      "y1": 222.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003799"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000662.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 200.0,
      "x2": 447.0,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003800"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000662.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000662.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 387.0,
      "y1": 200.0,
      "x2": 447.0,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003800"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000663.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 207.5,
      "x2": 520.5,
      "y2": 293.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003801"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000663.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000663.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 406.0,
      "y1": 207.5,
      "x2": 520.5,
      "y2": 293.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003801"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000664.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003802"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000664.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000664.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 453.0,
      "y1": 222.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003802"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000665.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 196.0,
      "x2": 521.5,
      "y2": 245.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003803"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000665.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000665.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 447.0,
      "y1": 196.0,
      "x2": 521.5,
      "y2": 245.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003803"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000666.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 199.0,
      "x2": 605.5,
      "y2": 271.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003804"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000666.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000666.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 490.0,
      "y1": 199.0,
      "x2": 605.5,
      "y2": 271.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003804"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000667.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 190.0,
      "x2": 354.5,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003805"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000667.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000667.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 303.5,
      "y1": 190.0,
      "x2": 354.5,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003805"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000668.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 188.0,
      "x2": 364.0,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003806"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000668.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000668.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 304.0,
      "y1": 188.0,
      "x2": 364.0,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003806"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000669.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 188.0,
      "x2": 388.0,
      "y2": 215.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003807"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000669.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000669.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 313.0,
      "y1": 188.0,
      "x2": 388.0,
      "y2": 215.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003807"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000670.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 186.5,
      "x2": 477.0,
      "y2": 223.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003808"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000670.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000670.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 382.5,
      "y1": 186.5,
      "x2": 477.0,
      "y2": 223.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003808"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000671.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 130.0,
      "y1": 189.5,
      "x2": 185.0,
      "y2": 208.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003809"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000671.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000671.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 130.0,
      "y1": 189.5,
      "x2": 185.0,
      "y2": 208.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003809"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000672.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 186.5,
      "x2": 183.0,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003810"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000672.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000672.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 116.0,
      "y1": 186.5,
      "x2": 183.0,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003810"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000673.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 191.5,
      "x2": 232.0,
      "y2": 221.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003811"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000673.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000673.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 144.0,
      "y1": 191.5,
      "x2": 232.0,
      "y2": 221.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003811"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000674.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 290.0,
      "y1": 186.0,
      "x2": 406.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003812"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000674.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000674.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 290.0,
      "y1": 186.0,
      "x2": 406.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003812"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000675.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 256.5,
      "y1": 191.0,
      "x2": 312.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003813"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000675.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000675.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 256.5,
      "y1": 191.0,
      "x2": 312.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003813"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000676.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 186.5,
      "x2": 338.0,
      "y2": 211.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003814"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000676.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000676.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.0,
      "y1": 186.5,
      "x2": 338.0,
      "y2": 211.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003814"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000677.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 192.5,
      "x2": 452.5,
      "y2": 223.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003815"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000677.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000677.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 365.5,
      "y1": 192.5,
      "x2": 452.5,
      "y2": 223.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003815"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000678.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 113.5,
      "y1": 194.0,
      "x2": 198.0,
      "y2": 224.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003816"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000678.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000678.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 113.5,
      "y1": 194.0,
      "x2": 198.0,
      "y2": 224.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003816"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000679.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 191.0,
      "x2": 210.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003817"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000679.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000679.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 142.0,
      "y1": 191.0,
      "x2": 210.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003817"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000680.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 193.0,
      "x2": 440.5,
      "y2": 233.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003818"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000680.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000680.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 354.5,
      "y1": 193.0,
      "x2": 440.5,
      "y2": 233.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003818"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000681.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 96.5,
      "y1": 190.0,
      "x2": 176.0,
      "y2": 220.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003819"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000681.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000681.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 96.5,
      "y1": 190.0,
      "x2": 176.0,
      "y2": 220.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003819"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000682.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 190.0,
      "x2": 410.5,
      "y2": 228.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003820"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000682.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000682.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 190.0,
      "x2": 410.5,
      "y2": 228.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003820"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000683.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 260.0,
      "y1": 191.5,
      "x2": 363.0,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003821"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000683.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000683.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 260.0,
      "y1": 191.5,
      "x2": 363.0,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003821"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000684.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.0,
      "x2": 38.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003822"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000684.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000684.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 204.0,
      "x2": 38.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003822"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000685.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.5,
      "x2": 110.5,
      "y2": 323.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003823"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000685.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000685.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 199.5,
      "x2": 110.5,
      "y2": 323.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003823"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000686.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 187.0,
      "x2": 291.0,
      "y2": 249.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003824"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000686.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000686.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 208.0,
      "y1": 187.0,
      "x2": 291.0,
      "y2": 249.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003824"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000687.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 193.5,
      "x2": 241.5,
      "y2": 331.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003825"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000687.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000687.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 60.0,
      "y1": 193.5,
      "x2": 241.5,
      "y2": 331.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003825"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000688.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 202.0,
      "x2": 280.0,
      "y2": 247.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003826"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000688.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000688.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 219.5,
      "y1": 202.0,
      "x2": 280.0,
      "y2": 247.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003826"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000689.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 206.5,
      "x2": 252.0,
      "y2": 296.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003827"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000689.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000689.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 120.0,
      "y1": 206.5,
      "x2": 252.0,
      "y2": 296.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003827"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000690.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 196.0,
      "x2": 293.0,
      "y2": 235.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003828"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000690.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000690.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 241.5,
      "y1": 196.0,
      "x2": 293.0,
      "y2": 235.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003828"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000691.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 190.0,
      "y1": 194.5,
      "x2": 278.0,
      "y2": 261.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003829"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000691.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000691.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 190.0,
      "y1": 194.5,
      "x2": 278.0,
      "y2": 261.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003829"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000692.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 203.5,
      "x2": 257.0,
      "y2": 302.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003830"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000692.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000692.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 122.0,
      "y1": 203.5,
      "x2": 257.0,
      "y2": 302.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003830"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000693.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 197.5,
      "x2": 280.5,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003831"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000693.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000693.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 222.5,
      "y1": 197.5,
      "x2": 280.5,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003831"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000694.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 109.5,
      "y1": 205.5,
      "x2": 250.5,
      "y2": 306.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003832"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000694.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000694.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 109.5,
      "y1": 205.5,
      "x2": 250.5,
      "y2": 306.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003832"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000695.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 215.0,
      "y1": 194.0,
      "x2": 282.0,
      "y2": 250.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003833"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000695.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000695.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 215.0,
      "y1": 194.0,
      "x2": 282.0,
      "y2": 250.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003833"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000696.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 202.0,
      "x2": 270.0,
      "y2": 272.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003834"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000696.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000696.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 173.5,
      "y1": 202.0,
      "x2": 270.0,
      "y2": 272.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003834"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000697.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 175.0,
      "y1": 191.5,
      "x2": 263.5,
      "y2": 260.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003835"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000697.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000697.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 175.0,
      "y1": 191.5,
      "x2": 263.5,
      "y2": 260.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003835"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000698.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 199.0,
      "x2": 278.5,
      "y2": 256.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003836"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000698.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000698.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.0,
      "y1": 199.0,
      "x2": 278.5,
      "y2": 256.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003836"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000699.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 185.5,
      "x2": 280.5,
      "y2": 228.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003837"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000699.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000699.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 226.5,
      "y1": 185.5,
      "x2": 280.5,
      "y2": 228.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003837"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000700.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 168.0,
      "x2": 567.5,
      "y2": 204.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003838"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000700.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000700.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 515.0,
      "y1": 168.0,
      "x2": 567.5,
      "y2": 204.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003838"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000701.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 187.5,
      "x2": 262.5,
      "y2": 277.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003839"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000701.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000701.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 133.5,
      "y1": 187.5,
      "x2": 262.5,
      "y2": 277.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003839"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000702.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 194.5,
      "x2": 423.5,
      "y2": 227.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003840"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000702.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000702.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 373.0,
      "y1": 194.5,
      "x2": 423.5,
      "y2": 227.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003840"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000703.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 199.5,
      "x2": 453.5,
      "y2": 245.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003841"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000703.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000703.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 376.5,
      "y1": 199.5,
      "x2": 453.5,
      "y2": 245.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003841"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000704.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 203.0,
      "x2": 501.5,
      "y2": 271.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003842"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000704.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000704.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 383.5,
      "y1": 203.0,
      "x2": 501.5,
      "y2": 271.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003842"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000705.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 211.0,
      "x2": 635.0,
      "y2": 344.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003843"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000705.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000705.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 411.5,
      "y1": 211.0,
      "x2": 635.0,
      "y2": 344.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003843"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000706.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 146.0,
      "x2": 489.5,
      "y2": 230.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003844"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000706.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000706.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 391.0,
      "y1": 146.0,
      "x2": 489.5,
      "y2": 230.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003844"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000707.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 136.0,
      "x2": 588.5,
      "y2": 274.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003845"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000707.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000707.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 413.5,
      "y1": 136.0,
      "x2": 588.5,
      "y2": 274.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003845"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000708.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 199.0,
      "x2": 377.0,
      "y2": 234.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003846"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000708.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000708.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 312.0,
      "y1": 199.0,
      "x2": 377.0,
      "y2": 234.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003846"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000709.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 200.5,
      "x2": 381.5,
      "y2": 249.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003847"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000709.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000709.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 291.0,
      "y1": 200.5,
      "x2": 381.5,
      "y2": 249.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003847"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000710.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 202.5,
      "x2": 410.0,
      "y2": 274.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003848"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000710.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000710.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 284.0,
      "y1": 202.5,
      "x2": 410.0,
      "y2": 274.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003848"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000711.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 207.0,
      "x2": 516.5,
      "y2": 326.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003849"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000711.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000711.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 318.0,
      "y1": 207.0,
      "x2": 516.5,
      "y2": 326.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003849"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000712.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 223.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003850"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000712.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000712.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 423.5,
      "y1": 223.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003850"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000713.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 166.0,
      "x2": 76.0,
      "y2": 190.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003851"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000713.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000713.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.5,
      "y1": 166.0,
      "x2": 76.0,
      "y2": 190.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003851"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000714.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 170.0,
      "x2": 133.0,
      "y2": 196.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003852"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000714.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000714.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 66.5,
      "y1": 170.0,
      "x2": 133.0,
      "y2": 196.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003852"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000715.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 92.5,
      "y1": 172.5,
      "x2": 162.5,
      "y2": 199.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003853"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000715.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000715.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 92.5,
      "y1": 172.5,
      "x2": 162.5,
      "y2": 199.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003853"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000716.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 173.5,
      "x2": 169.0,
      "y2": 202.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003854"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000716.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000716.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 95.0,
      "y1": 173.5,
      "x2": 169.0,
      "y2": 202.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003854"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000717.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 100.0,
      "y1": 179.5,
      "x2": 172.5,
      "y2": 207.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003855"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000717.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000717.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 100.0,
      "y1": 179.5,
      "x2": 172.5,
      "y2": 207.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003855"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000718.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 131.5,
      "y1": 188.0,
      "x2": 207.0,
      "y2": 216.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003856"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000718.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000718.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 131.5,
      "y1": 188.0,
      "x2": 207.0,
      "y2": 216.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003856"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000719.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 193.5,
      "x2": 286.0,
      "y2": 224.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003857"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000719.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000719.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 203.5,
      "y1": 193.5,
      "x2": 286.0,
      "y2": 224.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003857"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000720.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 195.5,
      "x2": 415.5,
      "y2": 234.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003858"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000720.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000720.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 317.0,
      "y1": 195.5,
      "x2": 415.5,
      "y2": 234.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003858"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000721.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 179.5,
      "x2": 68.0,
      "y2": 202.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003859"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000721.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000721.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 14.0,
      "y1": 179.5,
      "x2": 68.0,
      "y2": 202.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003859"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000722.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 180.5,
      "x2": 142.5,
      "y2": 204.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003860"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000722.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000722.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 82.5,
      "y1": 180.5,
      "x2": 142.5,
      "y2": 204.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003860"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000723.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 190.0,
      "y1": 190.0,
      "x2": 257.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003861"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000723.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000723.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 190.0,
      "y1": 190.0,
      "x2": 257.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003861"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000724.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 186.0,
      "x2": 388.0,
      "y2": 218.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003862"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000724.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000724.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 306.0,
      "y1": 186.0,
      "x2": 388.0,
      "y2": 218.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003862"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000725.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 177.5,
      "x2": 110.0,
      "y2": 200.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003863"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000725.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000725.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 57.5,
      "y1": 177.5,
      "x2": 110.0,
      "y2": 200.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003863"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000726.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 185.0,
      "x2": 221.5,
      "y2": 209.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003864"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000726.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000726.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 165.0,
      "y1": 185.0,
      "x2": 221.5,
      "y2": 209.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003864"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000727.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 179.0,
      "x2": 351.0,
      "y2": 210.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003865"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000727.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000727.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 282.0,
      "y1": 179.0,
      "x2": 351.0,
      "y2": 210.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003865"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000728.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 178.5,
      "x2": 534.5,
      "y2": 217.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003866"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000728.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000728.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 451.5,
      "y1": 178.5,
      "x2": 534.5,
      "y2": 217.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003866"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000729.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 247.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003867"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000729.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000729.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 562.5,
      "y1": 247.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003867"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000730.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 236.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003868"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000730.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000730.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 525.0,
      "y1": 236.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003868"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000731.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 235.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003869"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000731.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000731.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 490.5,
      "y1": 235.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003869"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000732.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 225.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003870"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000732.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000732.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 480.0,
      "y1": 225.5,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003870"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000733.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003871"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000733.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000733.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 530.5,
      "y1": 214.0,
      "x2": 639.5,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003871"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000734.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 156.0,
      "x2": 320.5,
      "y2": 195.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003872"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000734.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000734.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 269.5,
      "y1": 156.0,
      "x2": 320.5,
      "y2": 195.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003872"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000735.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 167.0,
      "x2": 492.0,
      "y2": 213.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003873"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000735.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000735.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 427.0,
      "y1": 167.0,
      "x2": 492.0,
      "y2": 213.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003873"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000736.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 537.5,
      "y1": 172.5,
      "x2": 620.5,
      "y2": 227.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003874"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000736.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000736.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 537.5,
      "y1": 172.5,
      "x2": 620.5,
      "y2": 227.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003874"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000737.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A KEEP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 41.5,
      "y2": 254.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003875"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000737.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000737.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 192.5,
      "x2": 41.5,
      "y2": 254.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003875"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000738.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 107.5,
      "y2": 292.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003876"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000738.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000738.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 196.0,
      "x2": 107.5,
      "y2": 292.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003876"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000739.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 85.5,
      "y1": 199.5,
      "x2": 160.0,
      "y2": 253.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003877"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000739.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000739.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 85.5,
      "y1": 199.5,
      "x2": 160.0,
      "y2": 253.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003877"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000740.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 44.5,
      "y1": 207.0,
      "x2": 174.0,
      "y2": 294.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003878"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000740.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000740.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 44.5,
      "y1": 207.0,
      "x2": 174.0,
      "y2": 294.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003878"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000741.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 188.5,
      "x2": 264.5,
      "y2": 226.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003879"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000741.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000741.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 211.5,
      "y1": 188.5,
      "x2": 264.5,
      "y2": 226.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003879"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000742.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 154.0,
      "y1": 190.5,
      "x2": 236.0,
      "y2": 246.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003880"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000742.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000742.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 154.0,
      "y1": 190.5,
      "x2": 236.0,
      "y2": 246.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003880"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000743.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 196.0,
      "x2": 213.0,
      "y2": 258.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003881"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000743.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000743.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 124.5,
      "y1": 196.0,
      "x2": 213.0,
      "y2": 258.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003881"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000744.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 193.0,
      "x2": 235.0,
      "y2": 238.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003882"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000744.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000744.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 166.5,
      "y1": 193.0,
      "x2": 235.0,
      "y2": 238.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003882"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000745.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 82.0,
      "y1": 201.0,
      "x2": 196.0,
      "y2": 272.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003883"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000745.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000745.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 82.0,
      "y1": 201.0,
      "x2": 196.0,
      "y2": 272.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003883"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000746.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 191.0,
      "x2": 232.5,
      "y2": 267.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003884"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000746.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000746.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 117.0,
      "y1": 191.0,
      "x2": 232.5,
      "y2": 267.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003884"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000747.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "D STOP"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 191.5,
      "x2": 195.0,
      "y2": 319.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003885"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000747.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000747.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 191.5,
      "x2": 195.0,
      "y2": 319.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003885"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000748.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 132.0,
      "y2": 399.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003886"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000748.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000748.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 212.5,
      "x2": 132.0,
      "y2": 399.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003886"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000749.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 195.5,
      "x2": 167.0,
      "y2": 322.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003887"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000749.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000749.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 0.0,
      "y1": 195.5,
      "x2": 167.0,
      "y2": 322.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003887"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000750.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "B ACCELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 168.5,
      "x2": 622.5,
      "y2": 212.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003888"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000750.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000750.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 473.0,
      "y1": 168.5,
      "x2": 622.5,
      "y2": 212.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003888"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000751.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 160.0,
      "x2": 605.5,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003889"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000751.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000751.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "A LEFT"
      }
    ],
    "bbox_2d": {
      "x1": 444.5,
      "y1": 160.0,
      "x2": 605.5,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003889"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000752.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 159.0,
      "x2": 564.0,
      "y2": 210.5
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003890"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000752.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000752.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 419.0,
      "y1": 159.0,
      "x2": 564.0,
      "y2": 210.5
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003890"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000753.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its speed behavior over the next 1 second from the ego-vehicle's perspective.\n\nSPEED: choose one from \"A\": \"KEEP\", \"B\": \"ACCELERATE\", \"C\": \"DECELERATE\", \"D\": \"STOP\", where:\n  - KEEP means maintaining the current speed,\n  - ACCELERATE means speeding up,\n  - DECELERATE means slowing down,\n  - STOP means the object is stationary.\n\nRespond in one line, e.g., 'B ACCELERATE'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C DECELERATE"
      }
    ],
    "bbox_2d": {
      "x1": 415.0,
      "y1": 159.5,
      "x2": 515.0,
      "y2": 207.0
    },
    "subtask": "speed",
    "original_id": "prediction/m3ed_train_prediction.json:003891"
  },
  {
    "image": "data/prediction/urban_night_car_urban_night_city_hall/image/000753.jpg",
    "event": "data/prediction/urban_night_car_urban_night_city_hall/event/000753.npz",
    "conversations": [
      {
        "from": "human",
        "value": "Suppose you are driving, and the following image is captured from the vehicle's front camera. The bounding box marks a target object in the scene.\nIn the given driving scene image, the object highlighted by the bounding box represents a detected dynamic agent. Based on its position and motion cues, predict its path behavior over the next 1 second from the ego-vehicle's perspective.\n\nPATH: choose one from \"A\": \"LEFT\", \"B\": \"RIGHT\", \"C\": \"STRAIGHT\", \"D\": \"UNKNOWN\", interpreted from the ego-vehicle's viewpoint:\n  - LEFT means moving toward the left side of the ego vehicle,\n  - RIGHT means moving toward the right side of the ego vehicle,\n  - STRAIGHT means moving forward along the ego vehicle's direction,\n  - UNKNOWN means the motion direction cannot be clearly determined.\n\nRespond in one line, e.g., 'C STRAIGHT'. Do not add punctuation or explanation."
      },
      {
        "from": "gpt",
        "value": "C STRAIGHT"
      }
    ],
    "bbox_2d": {
      "x1": 415.0,
      "y1": 159.5,
      "x2": 515.0,
      "y2": 207.0
    },
    "subtask": "path",
    "original_id": "prediction/m3ed_train_prediction.json:003891"
  }
]